from __future__ import annotations

import abc
import asyncio
import inspect
import sys
from collections.abc import AsyncGenerator, Awaitable, Callable
from contextlib import AbstractAsyncContextManager, AsyncExitStack, asynccontextmanager
from datetime import timedelta
from pathlib import Path
from typing import TYPE_CHECKING, Any, Literal, TypeVar, Union, cast

import anyio
import httpx

if sys.version_info < (3, 11):
    from exceptiongroup import BaseExceptionGroup  # pyright: ignore[reportMissingImports]
from anyio import ClosedResourceError
from anyio.streams.memory import MemoryObjectReceiveStream, MemoryObjectSendStream
from mcp import ClientSession, StdioServerParameters, Tool as MCPTool, stdio_client
from mcp.client.session import MessageHandlerFnT
from mcp.client.sse import sse_client
from mcp.client.streamable_http import (
    GetSessionIdCallback,
    StreamableHTTPTransport,
    streamablehttp_client,
)
from mcp.shared.exceptions import McpError
from mcp.shared.message import SessionMessage
from mcp.types import (
    CallToolResult,
    GetPromptResult,
    InitializeResult,
    ListPromptsResult,
    ListResourcesResult,
    ListResourceTemplatesResult,
    ReadResourceResult,
)
from typing_extensions import NotRequired, TypedDict

from ..exceptions import UserError
from ..logger import logger
from ..run_context import RunContextWrapper
from ..tool import ToolErrorFunction
from ..util._types import MaybeAwaitable
from .util import (
    HttpClientFactory,
    MCPToolMetaResolver,
    ToolFilter,
    ToolFilterContext,
    ToolFilterStatic,
)


class RequireApprovalToolList(TypedDict, total=False):
    tool_names: list[str]


class RequireApprovalObject(TypedDict, total=False):
    always: RequireApprovalToolList
    never: RequireApprovalToolList


RequireApprovalPolicy = Literal["always", "never"]
RequireApprovalMapping = dict[str, RequireApprovalPolicy]
if TYPE_CHECKING:
    LocalMCPApprovalCallable = Callable[
        [RunContextWrapper[Any], "AgentBase", MCPTool],
        MaybeAwaitable[bool],
    ]
else:
    LocalMCPApprovalCallable = Callable[..., Any]

if TYPE_CHECKING:
    RequireApprovalSetting = (
        RequireApprovalPolicy
        | RequireApprovalObject
        | RequireApprovalMapping
        | LocalMCPApprovalCallable
        | bool
        | None
    )
else:
    RequireApprovalSetting = Union[  # noqa: UP007
        RequireApprovalPolicy,
        RequireApprovalObject,
        RequireApprovalMapping,
        LocalMCPApprovalCallable,
        bool,
        None,
    ]


T = TypeVar("T")


def _create_default_streamable_http_client(
    headers: dict[str, str] | None = None,
    timeout: httpx.Timeout | None = None,
    auth: httpx.Auth | None = None,
) -> httpx.AsyncClient:
    kwargs: dict[str, Any] = {"follow_redirects": False}
    if timeout is not None:
        kwargs["timeout"] = timeout
    if headers is not None:
        kwargs["headers"] = headers
    if auth is not None:
        kwargs["auth"] = auth
    return httpx.AsyncClient(**kwargs)


class _InitializedNotificationTolerantStreamableHTTPTransport(StreamableHTTPTransport):
    async def _handle_post_request(self, ctx: Any) -> None:
        message = ctx.session_message.message
        if not self._is_initialized_notification(message):
            await super()._handle_post_request(ctx)
            return

        try:
            await super()._handle_post_request(ctx)
        except httpx.HTTPError:
            logger.warning(
                "Ignoring initialized notification HTTP failure",
                exc_info=True,
            )
            return


@asynccontextmanager
async def _streamablehttp_client_with_transport(
    url: str,
    *,
    headers: dict[str, str] | None = None,
    timeout: float | timedelta = 30,
    sse_read_timeout: float | timedelta = 60 * 5,
    terminate_on_close: bool = True,
    httpx_client_factory: HttpClientFactory = _create_default_streamable_http_client,
    auth: httpx.Auth | None = None,
    transport_factory: Callable[[str], StreamableHTTPTransport] = StreamableHTTPTransport,
) -> AsyncGenerator[MCPStreamTransport, None]:
    timeout_seconds = timeout.total_seconds() if isinstance(timeout, timedelta) else timeout
    sse_read_timeout_seconds = (
        sse_read_timeout.total_seconds()
        if isinstance(sse_read_timeout, timedelta)
        else sse_read_timeout
    )

    client = httpx_client_factory(
        headers=headers,
        timeout=httpx.Timeout(timeout_seconds, read=sse_read_timeout_seconds),
        auth=auth,
    )
    transport = transport_factory(url)
    read_stream_writer, read_stream = anyio.create_memory_object_stream[SessionMessage | Exception](
        0
    )
    write_stream, write_stream_reader = anyio.create_memory_object_stream[SessionMessage](0)

    async with client:
        async with anyio.create_task_group() as tg:
            try:
                logger.debug(f"Connecting to StreamableHTTP endpoint: {url}")

                def start_get_stream() -> None:
                    tg.start_soon(transport.handle_get_stream, client, read_stream_writer)

                tg.start_soon(
                    transport.post_writer,
                    client,
                    write_stream_reader,
                    read_stream_writer,
                    write_stream,
                    start_get_stream,
                    tg,
                )

                try:
                    yield (
                        read_stream,
                        write_stream,
                        transport.get_session_id,
                    )
                finally:
                    if transport.session_id and terminate_on_close:
                        await transport.terminate_session(client)
                    tg.cancel_scope.cancel()
            finally:
                await read_stream_writer.aclose()
                await write_stream.aclose()


class _SharedSessionRequestNeedsIsolation(Exception):
    """Raised when a shared-session request should be retried on an isolated session."""


class _IsolatedSessionRetryFailed(Exception):
    """Raised when an isolated-session retry fails after consuming retry budget."""


class _UnsetType:
    pass


_UNSET = _UnsetType()

if TYPE_CHECKING:
    from ..agent import AgentBase


MCPStreamTransport = (
    tuple[
        MemoryObjectReceiveStream[SessionMessage | Exception],
        MemoryObjectSendStream[SessionMessage],
    ]
    | tuple[
        MemoryObjectReceiveStream[SessionMessage | Exception],
        MemoryObjectSendStream[SessionMessage],
        GetSessionIdCallback | None,
    ]
)


class MCPServer(abc.ABC):
    """Base class for Model Context Protocol servers."""

    def __init__(
        self,
        use_structured_content: bool = False,
        require_approval: RequireApprovalSetting = None,
        failure_error_function: ToolErrorFunction | None | _UnsetType = _UNSET,
        tool_meta_resolver: MCPToolMetaResolver | None = None,
    ):
        """
        Args:
            use_structured_content: Whether to use `tool_result.structured_content` when calling an
                MCP tool. Defaults to False for backwards compatibility - most MCP servers still
                include the structured content in the `tool_result.content`, and using it by
                default will cause duplicate content. You can set this to True if you know the
                server will not duplicate the structured content in the `tool_result.content`.
            require_approval: Approval policy for tools on this server. Accepts "always"/"never",
                a dict of tool names to those values, a boolean, an object with always/never
                tool lists (mirroring TS requireApproval), or a sync/async callable that receives
                `(run_context, agent, tool)` and returns whether the tool call needs approval.
                Normalized into a needs_approval policy.
            failure_error_function: Optional function used to convert MCP tool failures into
                a model-visible error message. If explicitly set to None, tool errors will be
                raised instead of converted. If left unset, the agent-level configuration (or
                SDK default) will be used.
            tool_meta_resolver: Optional callable that produces MCP request metadata (`_meta`) for
                tool calls. It is invoked by the Agents SDK before calling `call_tool`.
        """
        self.use_structured_content = use_structured_content
        self._needs_approval_policy = self._normalize_needs_approval(
            require_approval=require_approval
        )
        self._failure_error_function = failure_error_function
        self.tool_meta_resolver = tool_meta_resolver

    @abc.abstractmethod
    async def connect(self):
        """Connect to the server. For example, this might mean spawning a subprocess or
        opening a network connection. The server is expected to remain connected until
        `cleanup()` is called.
        """
        pass

    @property
    @abc.abstractmethod
    def name(self) -> str:
        """A readable name for the server."""
        pass

    @abc.abstractmethod
    async def cleanup(self):
        """Cleanup the server. For example, this might mean closing a subprocess or
        closing a network connection.
        """
        pass

    @abc.abstractmethod
    async def list_tools(
        self,
        run_context: RunContextWrapper[Any] | None = None,
        agent: AgentBase | None = None,
    ) -> list[MCPTool]:
        """List the tools available on the server."""
        pass

    @abc.abstractmethod
    async def call_tool(
        self,
        tool_name: str,
        arguments: dict[str, Any] | None,
        meta: dict[str, Any] | None = None,
    ) -> CallToolResult:
        """Invoke a tool on the server."""
        pass

    @property
    def cached_tools(self) -> list[MCPTool] | None:
        """Return the most recently fetched tools list, if available.

        Implementations may return `None` when tools have not been fetched yet or caching is
        disabled.
        """

        return None

    @abc.abstractmethod
    async def list_prompts(
        self,
    ) -> ListPromptsResult:
        """List the prompts available on the server."""
        pass

    @abc.abstractmethod
    async def get_prompt(
        self, name: str, arguments: dict[str, Any] | None = None
    ) -> GetPromptResult:
        """Get a specific prompt from the server."""
        pass

    async def list_resources(self, cursor: str | None = None) -> ListResourcesResult:
        """List the resources available on the server.

        Args:
            cursor: An opaque pagination cursor returned in a previous
                :class:`~mcp.types.ListResourcesResult` as ``nextCursor``.  Pass it
                here to fetch the next page of results.  ``None`` fetches the first
                page.

        Returns a :class:`~mcp.types.ListResourcesResult`.  When the result contains
        a ``nextCursor`` field, call this method again with that cursor to retrieve
        the next page.  Subclasses that do not support resources may leave this
        unimplemented; it will raise :exc:`NotImplementedError` at call time.
        """
        raise NotImplementedError(
            f"MCP server '{self.name}' does not support list_resources. "
            "Override this method in your server implementation."
        )

    async def list_resource_templates(
        self, cursor: str | None = None
    ) -> ListResourceTemplatesResult:
        """List the resource templates available on the server.

        Args:
            cursor: An opaque pagination cursor returned in a previous
                :class:`~mcp.types.ListResourceTemplatesResult` as ``nextCursor``.
                Pass it here to fetch the next page of results.  ``None`` fetches
                the first page.

        Returns a :class:`~mcp.types.ListResourceTemplatesResult`.  When the result
        contains a ``nextCursor`` field, call this method again with that cursor to
        retrieve the next page.  Subclasses that do not support resource templates
        may leave this unimplemented; it will raise :exc:`NotImplementedError` at
        call time.
        """
        raise NotImplementedError(
            f"MCP server '{self.name}' does not support list_resource_templates. "
            "Override this method in your server implementation."
        )

    async def read_resource(self, uri: str) -> ReadResourceResult:
        """Read the contents of a specific resource by URI.

        Args:
            uri: The URI of the resource to read. See :class:`~pydantic.networks.AnyUrl`
                for the supported URI formats.

        Returns a :class:`~mcp.types.ReadResourceResult`.  Subclasses that do not
        support resources may leave this unimplemented; it will raise
        :exc:`NotImplementedError` at call time.
        """
        raise NotImplementedError(
            f"MCP server '{self.name}' does not support read_resource. "
            "Override this method in your server implementation."
        )

    @staticmethod
    def _normalize_needs_approval(
        *,
        require_approval: RequireApprovalSetting,
    ) -> (
        bool
        | dict[str, bool]
        | Callable[[RunContextWrapper[Any], AgentBase, MCPTool], MaybeAwaitable[bool]]
    ):
        """Normalize approval inputs to booleans or a name->bool map."""

        if require_approval is None:
            return False

        def _to_bool(value: object, *, location: str) -> bool:
            if value == "always":
                return True
            if value == "never":
                return False
            raise UserError(
                f"Invalid require_approval value at {location}: "
                f"expected 'always' or 'never', got {value!r}."
            )

        def _validate_tool_names(value: object, *, location: str) -> list[str]:
            if not isinstance(value, list):
                raise UserError(
                    f"Invalid require_approval tool_names at {location}: "
                    f"expected a list of strings, got {type(value).__name__}."
                )

            tool_names: list[str] = []
            for index, tool_name in enumerate(value):
                if not isinstance(tool_name, str):
                    raise UserError(
                        f"Invalid require_approval tool name at {location}[{index}]: "
                        f"expected a string, got {type(tool_name).__name__}."
                    )
                tool_names.append(tool_name)
            return tool_names

        def _get_tool_names_entry(value: object, *, policy: str) -> list[str]:
            if not isinstance(value, dict):
                raise UserError(
                    f"Invalid require_approval.{policy}: "
                    f"expected an object with tool_names, got {type(value).__name__}."
                )
            return _validate_tool_names(
                value.get("tool_names", []),
                location=f"require_approval.{policy}.tool_names",
            )

        def _is_tool_list_schema(value: object) -> bool:
            if not isinstance(value, dict):
                return False
            for key in ("always", "never"):
                if key not in value:
                    continue
                entry = value.get(key)
                if isinstance(entry, dict) and "tool_names" in entry:
                    return True
            return False

        if isinstance(require_approval, dict) and _is_tool_list_schema(require_approval):
            always_entry: RequireApprovalToolList | Any = require_approval.get("always", {})
            never_entry: RequireApprovalToolList | Any = require_approval.get("never", {})
            invalid_keys = sorted(set(require_approval) - {"always", "never"})
            if invalid_keys:
                raise UserError(
                    "Invalid require_approval tool list policy: "
                    f"unexpected keys {invalid_keys!r}; expected only 'always' and 'never'."
                )
            always_names = _get_tool_names_entry(always_entry, policy="always")
            never_names = _get_tool_names_entry(never_entry, policy="never")
            overlapping_names = sorted(set(always_names) & set(never_names))
            if overlapping_names:
                raise UserError(
                    "Invalid require_approval tool list policy: "
                    f"tool names cannot appear in both always and never: {overlapping_names!r}."
                )
            tool_list_mapping: dict[str, bool] = {}
            for name in always_names:
                tool_list_mapping[name] = True
            for name in never_names:
                tool_list_mapping[name] = False
            return tool_list_mapping

        if isinstance(require_approval, dict):
            tool_mapping: dict[str, bool] = {}
            for name, value in require_approval.items():
                if isinstance(value, bool):
                    tool_mapping[str(name)] = value
                else:
                    tool_mapping[str(name)] = _to_bool(
                        value, location=f"require_approval[{name!r}]"
                    )
            return tool_mapping

        if callable(require_approval):
            return require_approval

        if isinstance(require_approval, bool):
            return require_approval

        return _to_bool(require_approval, location="require_approval")

    def _get_needs_approval_for_tool(
        self,
        tool: MCPTool,
        agent: AgentBase | None,
    ) -> bool | Callable[[RunContextWrapper[Any], dict[str, Any], str], Awaitable[bool]]:
        """Return a FunctionTool.needs_approval value for a given MCP tool.

        Legacy callers may omit ``agent`` when using ``MCPUtil.to_function_tool()`` directly.
        When approval is configured with a callable policy and no agent is available, this method
        returns ``True`` to preserve the historical fail-closed behavior.
        """

        policy = self._needs_approval_policy

        if callable(policy):
            if agent is None:
                return True

            async def _needs_approval(
                run_context: RunContextWrapper[Any], _args: dict[str, Any], _call_id: str
            ) -> bool:
                result = policy(run_context, agent, tool)
                if inspect.isawaitable(result):
                    result = await result
                return bool(result)

            return _needs_approval

        if isinstance(policy, dict):
            return bool(policy.get(tool.name, False))

        return bool(policy)

    def _get_failure_error_function(
        self, agent_failure_error_function: ToolErrorFunction | None
    ) -> ToolErrorFunction | None:
        """Return the effective error handler for MCP tool failures."""
        if self._failure_error_function is _UNSET:
            return agent_failure_error_function
        return cast(ToolErrorFunction | None, self._failure_error_function)


class _MCPServerWithClientSession(MCPServer, abc.ABC):
    """Base class for MCP servers that use a `ClientSession` to communicate with the server."""

    @property
    def cached_tools(self) -> list[MCPTool] | None:
        return self._tools_list

    def __init__(
        self,
        cache_tools_list: bool,
        client_session_timeout_seconds: float | None,
        tool_filter: ToolFilter = None,
        use_structured_content: bool = False,
        max_retry_attempts: int = 0,
        retry_backoff_seconds_base: float = 1.0,
        message_handler: MessageHandlerFnT | None = None,
        require_approval: RequireApprovalSetting = None,
        failure_error_function: ToolErrorFunction | None | _UnsetType = _UNSET,
        tool_meta_resolver: MCPToolMetaResolver | None = None,
    ):
        """
        Args:
            cache_tools_list: Whether to cache the tools list. If `True`, the tools list will be
            cached and only fetched from the server once. If `False`, the tools list will be
            fetched from the server on each call to `list_tools()`. The cache can be invalidated
            by calling `invalidate_tools_cache()`. You should set this to `True` if you know the
            server will not change its tools list, because it can drastically improve latency
            (by avoiding a round-trip to the server every time).

            client_session_timeout_seconds: the read timeout passed to the MCP ClientSession.
            tool_filter: The tool filter to use for filtering tools.
            use_structured_content: Whether to use `tool_result.structured_content` when calling an
                MCP tool. Defaults to False for backwards compatibility - most MCP servers still
                include the structured content in the `tool_result.content`, and using it by
                default will cause duplicate content. You can set this to True if you know the
                server will not duplicate the structured content in the `tool_result.content`.
            max_retry_attempts: Number of times to retry failed list_tools/call_tool calls.
                Defaults to no retries.
            retry_backoff_seconds_base: The base delay, in seconds, used for exponential
                backoff between retries.
            message_handler: Optional handler invoked for session messages as delivered by the
                ClientSession.
            require_approval: Approval policy for tools on this server. Accepts "always"/"never",
                a dict of tool names to those values, a boolean, or an object with always/never
                tool lists.
            failure_error_function: Optional function used to convert MCP tool failures into
                a model-visible error message. If explicitly set to None, tool errors will be
                raised instead of converted. If left unset, the agent-level configuration (or
                SDK default) will be used.
            tool_meta_resolver: Optional callable that produces MCP request metadata (`_meta`) for
                tool calls. It is invoked by the Agents SDK before calling `call_tool`.
        """
        super().__init__(
            use_structured_content=use_structured_content,
            require_approval=require_approval,
            failure_error_function=failure_error_function,
            tool_meta_resolver=tool_meta_resolver,
        )
        self.session: ClientSession | None = None
        self.exit_stack: AsyncExitStack = AsyncExitStack()
        self._cleanup_lock: asyncio.Lock = asyncio.Lock()
        self._request_lock: asyncio.Lock = asyncio.Lock()
        self.cache_tools_list = cache_tools_list
        self.server_initialize_result: InitializeResult | None = None

        self.client_session_timeout_seconds = client_session_timeout_seconds
        self.max_retry_attempts = max_retry_attempts
        self.retry_backoff_seconds_base = retry_backoff_seconds_base
        self.message_handler = message_handler

        # The cache is always dirty at startup, so that we fetch tools at least once
        self._cache_dirty = True
        self._tools_list: list[MCPTool] | None = None

        self.tool_filter = tool_filter
        self._serialize_session_requests = False
        self._get_session_id: GetSessionIdCallback | None = None

    async def _maybe_serialize_request(self, func: Callable[[], Awaitable[T]]) -> T:
        if not self._serialize_session_requests:
            return await func()
        async with self._request_lock:
            return await func()

    async def _apply_tool_filter(
        self,
        tools: list[MCPTool],
        run_context: RunContextWrapper[Any] | None = None,
        agent: AgentBase | None = None,
    ) -> list[MCPTool]:
        """Apply the tool filter to the list of tools."""
        if self.tool_filter is None:
            return tools

        # Handle static tool filter
        if isinstance(self.tool_filter, dict):
            return self._apply_static_tool_filter(tools, self.tool_filter)

        # Handle callable tool filter (dynamic filter)
        else:
            if run_context is None or agent is None:
                raise UserError("run_context and agent are required for dynamic tool filtering")
            return await self._apply_dynamic_tool_filter(tools, run_context, agent)

    def _apply_static_tool_filter(
        self, tools: list[MCPTool], static_filter: ToolFilterStatic
    ) -> list[MCPTool]:
        """Apply static tool filtering based on allowlist and blocklist."""
        filtered_tools = tools

        # Apply allowed_tool_names filter (whitelist)
        if "allowed_tool_names" in static_filter:
            allowed_names = static_filter["allowed_tool_names"]
            filtered_tools = [t for t in filtered_tools if t.name in allowed_names]

        # Apply blocked_tool_names filter (blacklist)
        if "blocked_tool_names" in static_filter:
            blocked_names = static_filter["blocked_tool_names"]
            filtered_tools = [t for t in filtered_tools if t.name not in blocked_names]

        return filtered_tools

    async def _apply_dynamic_tool_filter(
        self,
        tools: list[MCPTool],
        run_context: RunContextWrapper[Any],
        agent: AgentBase,
    ) -> list[MCPTool]:
        """Apply dynamic tool filtering using a callable filter function."""

        # Ensure we have a callable filter
        if not callable(self.tool_filter):
            raise ValueError("Tool filter must be callable for dynamic filtering")
        tool_filter_func = self.tool_filter

        # Create filter context
        filter_context = ToolFilterContext(
            run_context=run_context,
            agent=agent,
            server_name=self.name,
        )

        filtered_tools = []
        for tool in tools:
            try:
                # Call the filter function with context
                result = tool_filter_func(filter_context, tool)

                if inspect.isawaitable(result):
                    should_include = await result
                else:
                    should_include = result

                if should_include:
                    filtered_tools.append(tool)
            except Exception as e:
                logger.error(
                    f"Error applying tool filter to tool '{tool.name}' on server '{self.name}': {e}"
                )
                # On error, exclude the tool for safety
                continue

        return filtered_tools

    @abc.abstractmethod
    def create_streams(
        self,
    ) -> AbstractAsyncContextManager[MCPStreamTransport]:
        """Create the streams for the server."""
        pass

    async def __aenter__(self):
        await self.connect()
        return self

    async def __aexit__(self, exc_type, exc_value, traceback):
        await self.cleanup()

    def invalidate_tools_cache(self):
        """Invalidate the tools cache."""
        self._cache_dirty = True

    def _extract_http_error_from_exception(self, e: BaseException) -> Exception | None:
        """Extract HTTP error from exception or ExceptionGroup."""
        if isinstance(e, httpx.HTTPStatusError | httpx.ConnectError | httpx.TimeoutException):
            return e

        # Check if it's an ExceptionGroup containing HTTP errors
        if isinstance(e, BaseExceptionGroup):
            for exc in e.exceptions:
                if isinstance(
                    exc, httpx.HTTPStatusError | httpx.ConnectError | httpx.TimeoutException
                ):
                    return exc

        return None

    def _raise_user_error_for_http_error(self, http_error: Exception) -> None:
        """Raise appropriate UserError for HTTP error."""
        error_message = f"Failed to connect to MCP server '{self.name}': "
        if isinstance(http_error, httpx.HTTPStatusError):
            error_message += f"HTTP error {http_error.response.status_code} ({http_error.response.reason_phrase})"  # noqa: E501

        elif isinstance(http_error, httpx.ConnectError):
            error_message += "Could not reach the server."

        elif isinstance(http_error, httpx.TimeoutException):
            error_message += "Connection timeout."

        raise UserError(error_message) from http_error

    async def _run_with_retries(self, func: Callable[[], Awaitable[T]]) -> T:
        attempts = 0
        while True:
            try:
                return await func()
            except Exception:
                attempts += 1
                if self.max_retry_attempts != -1 and attempts > self.max_retry_attempts:
                    raise
                backoff = self.retry_backoff_seconds_base * (2 ** (attempts - 1))
                await asyncio.sleep(backoff)

    async def connect(self):
        """Connect to the server."""
        connection_succeeded = False
        try:
            transport = await self.exit_stack.enter_async_context(self.create_streams())
            # streamablehttp_client returns (read, write, get_session_id)
            # sse_client returns (read, write)

            read, write, *rest = transport
            # Capture the session-id callback when present (streamablehttp_client only).
            self._get_session_id = rest[0] if rest and callable(rest[0]) else None

            session = await self.exit_stack.enter_async_context(
                ClientSession(
                    read,
                    write,
                    timedelta(seconds=self.client_session_timeout_seconds)
                    if self.client_session_timeout_seconds
                    else None,
                    message_handler=self.message_handler,
                )
            )
            server_result = await session.initialize()
            self.server_initialize_result = server_result
            self.session = session
            connection_succeeded = True
        except Exception as e:
            # Try to extract HTTP error from exception or ExceptionGroup
            http_error = self._extract_http_error_from_exception(e)
            if http_error:
                self._raise_user_error_for_http_error(http_error)

            # For CancelledError, preserve cancellation semantics - don't wrap it.
            # If it's masking an HTTP error, cleanup() will extract and raise UserError.
            if isinstance(e, asyncio.CancelledError):
                raise

            # For HTTP-related errors, wrap them
            if isinstance(e, httpx.HTTPStatusError | httpx.ConnectError | httpx.TimeoutException):
                self._raise_user_error_for_http_error(e)

            # For other errors, re-raise as-is (don't wrap non-HTTP errors)
            raise
        finally:
            # Always attempt cleanup on error, but suppress cleanup errors that mask the original
            if not connection_succeeded:
                try:
                    await self.cleanup()
                except UserError:
                    # Re-raise UserError from cleanup (contains the real HTTP error)
                    raise
                except Exception as cleanup_error:
                    # Suppress RuntimeError about cancel scopes during cleanup - this is a known
                    # issue with the MCP library's async generator cleanup and shouldn't mask the
                    # original error
                    if isinstance(cleanup_error, RuntimeError) and "cancel scope" in str(
                        cleanup_error
                    ):
                        logger.debug(
                            f"Ignoring cancel scope error during cleanup of MCP server "
                            f"'{self.name}': {cleanup_error}"
                        )
                    else:
                        # Log other cleanup errors but don't raise - original error is more
                        # important
                        logger.warning(
                            f"Error during cleanup of MCP server '{self.name}': {cleanup_error}"
                        )

    async def list_tools(
        self,
        run_context: RunContextWrapper[Any] | None = None,
        agent: AgentBase | None = None,
    ) -> list[MCPTool]:
        """List the tools available on the server."""
        if not self.session:
            raise UserError("Server not initialized. Make sure you call `connect()` first.")
        session = self.session
        assert session is not None

        try:
            # Return from cache if caching is enabled, we have tools, and the cache is not dirty
            if self.cache_tools_list and not self._cache_dirty and self._tools_list:
                tools = self._tools_list
            else:
                # Fetch the tools from the server
                result = await self._run_with_retries(
                    lambda: self._maybe_serialize_request(lambda: session.list_tools())
                )
                self._tools_list = result.tools
                self._cache_dirty = False
                tools = self._tools_list

            # Filter tools based on tool_filter
            filtered_tools = tools
            if self.tool_filter is not None:
                filtered_tools = await self._apply_tool_filter(filtered_tools, run_context, agent)
            return filtered_tools
        except httpx.HTTPStatusError as e:
            status_code = e.response.status_code
            raise UserError(
                f"Failed to list tools from MCP server '{self.name}': HTTP error {status_code}"
            ) from e
        except httpx.ConnectError as e:
            raise UserError(
                f"Failed to list tools from MCP server '{self.name}': Connection lost. "
                f"The server may have disconnected."
            ) from e

    async def call_tool(
        self,
        tool_name: str,
        arguments: dict[str, Any] | None,
        meta: dict[str, Any] | None = None,
    ) -> CallToolResult:
        """Invoke a tool on the server."""
        if not self.session:
            raise UserError("Server not initialized. Make sure you call `connect()` first.")
        session = self.session
        assert session is not None

        try:
            self._validate_required_parameters(tool_name=tool_name, arguments=arguments)
            if meta is None:
                return await self._run_with_retries(
                    lambda: self._maybe_serialize_request(
                        lambda: session.call_tool(tool_name, arguments)
                    )
                )
            return await self._run_with_retries(
                lambda: self._maybe_serialize_request(
                    lambda: session.call_tool(tool_name, arguments, meta=meta)
                )
            )
        except httpx.HTTPStatusError as e:
            status_code = e.response.status_code
            raise UserError(
                f"Failed to call tool '{tool_name}' on MCP server '{self.name}': "
                f"HTTP error {status_code}"
            ) from e
        except httpx.ConnectError as e:
            raise UserError(
                f"Failed to call tool '{tool_name}' on MCP server '{self.name}': Connection lost. "
                f"The server may have disconnected."
            ) from e

    def _validate_required_parameters(
        self, tool_name: str, arguments: dict[str, Any] | None
    ) -> None:
        """Validate required tool parameters from cached MCP tool schemas before invocation."""
        if self._tools_list is None:
            return

        tool = next((item for item in self._tools_list if item.name == tool_name), None)
        if tool is None or not isinstance(tool.inputSchema, dict):
            return

        raw_required = tool.inputSchema.get("required")
        if not isinstance(raw_required, list) or not raw_required:
            return

        if arguments is None:
            arguments_to_validate: dict[str, Any] = {}
        elif isinstance(arguments, dict):
            arguments_to_validate = arguments
        else:
            raise UserError(
                f"Failed to call tool '{tool_name}' on MCP server '{self.name}': "
                "arguments must be an object."
            )

        required_names = [name for name in raw_required if isinstance(name, str)]
        missing = [name for name in required_names if name not in arguments_to_validate]
        if missing:
            missing_text = ", ".join(sorted(missing))
            raise UserError(
                f"Failed to call tool '{tool_name}' on MCP server '{self.name}': "
                f"missing required parameters: {missing_text}"
            )

    async def list_prompts(
        self,
    ) -> ListPromptsResult:
        """List the prompts available on the server."""
        if not self.session:
            raise UserError("Server not initialized. Make sure you call `connect()` first.")
        session = self.session
        assert session is not None
        return await self._maybe_serialize_request(lambda: session.list_prompts())

    async def get_prompt(
        self, name: str, arguments: dict[str, Any] | None = None
    ) -> GetPromptResult:
        """Get a specific prompt from the server."""
        if not self.session:
            raise UserError("Server not initialized. Make sure you call `connect()` first.")
        session = self.session
        assert session is not None
        return await self._maybe_serialize_request(lambda: session.get_prompt(name, arguments))

    async def list_resources(self, cursor: str | None = None) -> ListResourcesResult:
        """List the resources available on the server."""
        if not self.session:
            raise UserError("Server not initialized. Make sure you call `connect()` first.")
        session = self.session
        assert session is not None
        return await self._maybe_serialize_request(lambda: session.list_resources(cursor))

    async def list_resource_templates(
        self, cursor: str | None = None
    ) -> ListResourceTemplatesResult:
        """List the resource templates available on the server."""
        if not self.session:
            raise UserError("Server not initialized. Make sure you call `connect()` first.")
        session = self.session
        assert session is not None
        return await self._maybe_serialize_request(lambda: session.list_resource_templates(cursor))

    async def read_resource(self, uri: str) -> ReadResourceResult:
        """Read the contents of a specific resource by URI.

        Args:
            uri: The URI of the resource to read. See :class:`~pydantic.networks.AnyUrl`
                for the supported URI formats.
        """
        if not self.session:
            raise UserError("Server not initialized. Make sure you call `connect()` first.")
        session = self.session
        assert session is not None
        from pydantic import AnyUrl

        return await self._maybe_serialize_request(lambda: session.read_resource(AnyUrl(uri)))

    async def cleanup(self):
        """Cleanup the server."""
        async with self._cleanup_lock:
            # Only raise HTTP errors if we're cleaning up after a failed connection.
            # During normal teardown (via __aexit__), log but don't raise to avoid
            # masking the original exception.
            is_failed_connection_cleanup = self.session is None

            try:
                await self.exit_stack.aclose()
            except asyncio.CancelledError as e:
                logger.debug(f"Cleanup cancelled for MCP server '{self.name}': {e}")
                raise
            except BaseExceptionGroup as eg:
                # Extract HTTP errors from ExceptionGroup raised during cleanup
                # This happens when background tasks fail (e.g., HTTP errors)
                http_error = None
                connect_error = None
                timeout_error = None
                error_message = f"Failed to connect to MCP server '{self.name}': "

                for exc in eg.exceptions:
                    if isinstance(exc, httpx.HTTPStatusError):
                        http_error = exc
                    elif isinstance(exc, httpx.ConnectError):
                        connect_error = exc
                    elif isinstance(exc, httpx.TimeoutException):
                        timeout_error = exc

                # Only raise HTTP errors if we're cleaning up after a failed connection.
                # During normal teardown, log them instead.
                if http_error:
                    if is_failed_connection_cleanup:
                        error_message += f"HTTP error {http_error.response.status_code} ({http_error.response.reason_phrase})"  # noqa: E501
                        raise UserError(error_message) from http_error
                    else:
                        # Normal teardown - log but don't raise
                        logger.warning(
                            f"HTTP error during cleanup of MCP server '{self.name}': {http_error}"
                        )
                elif connect_error:
                    if is_failed_connection_cleanup:
                        error_message += "Could not reach the server."
                        raise UserError(error_message) from connect_error
                    else:
                        logger.warning(
                            f"Connection error during cleanup of MCP server '{self.name}': {connect_error}"  # noqa: E501
                        )
                elif timeout_error:
                    if is_failed_connection_cleanup:
                        error_message += "Connection timeout."
                        raise UserError(error_message) from timeout_error
                    else:
                        logger.warning(
                            f"Timeout error during cleanup of MCP server '{self.name}': {timeout_error}"  # noqa: E501
                        )
                else:
                    # No HTTP error found, suppress RuntimeError about cancel scopes
                    has_cancel_scope_error = any(
                        isinstance(exc, RuntimeError) and "cancel scope" in str(exc)
                        for exc in eg.exceptions
                    )
                    if has_cancel_scope_error:
                        logger.debug(f"Ignoring cancel scope error during cleanup: {eg}")
                    else:
                        logger.error(f"Error cleaning up server: {eg}")
            except Exception as e:
                # Suppress RuntimeError about cancel scopes - this is a known issue with the MCP
                # library when background tasks fail during async generator cleanup
                if isinstance(e, RuntimeError) and "cancel scope" in str(e):
                    logger.debug(f"Ignoring cancel scope error during cleanup: {e}")
                else:
                    logger.error(f"Error cleaning up server: {e}")
            finally:
                self.session = None
                self._get_session_id = None


class MCPServerStdioParams(TypedDict):
    """Mirrors `mcp.client.stdio.StdioServerParameters`, but lets you pass params without another
    import.
    """

    command: str
    """The executable to run to start the server. For example, `python` or `node`."""

    args: NotRequired[list[str]]
    """Command line args to pass to the `command` executable. For example, `['foo.py']` or
    `['server.js', '--port', '8080']`."""

    env: NotRequired[dict[str, str]]
    """The environment variables to set for the server. ."""

    cwd: NotRequired[str | Path]
    """The working directory to use when spawning the process."""

    encoding: NotRequired[str]
    """The text encoding used when sending/receiving messages to the server. Defaults to `utf-8`."""

    encoding_error_handler: NotRequired[Literal["strict", "ignore", "replace"]]
    """The text encoding error handler. Defaults to `strict`.

    See https://docs.python.org/3/library/codecs.html#codec-base-classes for
    explanations of possible values.
    """


class MCPServerStdio(_MCPServerWithClientSession):
    """MCP server implementation that uses the stdio transport. See the [spec]
    (https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#stdio) for
    details.
    """

    def __init__(
        self,
        params: MCPServerStdioParams,
        cache_tools_list: bool = False,
        name: str | None = None,
        client_session_timeout_seconds: float | None = 5,
        tool_filter: ToolFilter = None,
        use_structured_content: bool = False,
        max_retry_attempts: int = 0,
        retry_backoff_seconds_base: float = 1.0,
        message_handler: MessageHandlerFnT | None = None,
        require_approval: RequireApprovalSetting = None,
        failure_error_function: ToolErrorFunction | None | _UnsetType = _UNSET,
        tool_meta_resolver: MCPToolMetaResolver | None = None,
    ):
        """Create a new MCP server based on the stdio transport.

        Args:
            params: The params that configure the server. This includes the command to run to
                start the server, the args to pass to the command, the environment variables to
                set for the server, the working directory to use when spawning the process, and
                the text encoding used when sending/receiving messages to the server.
            cache_tools_list: Whether to cache the tools list. If `True`, the tools list will be
                cached and only fetched from the server once. If `False`, the tools list will be
                fetched from the server on each call to `list_tools()`. The cache can be
                invalidated by calling `invalidate_tools_cache()`. You should set this to `True`
                if you know the server will not change its tools list, because it can drastically
                improve latency (by avoiding a round-trip to the server every time).
            name: A readable name for the server. If not provided, we'll create one from the
                command.
            client_session_timeout_seconds: the read timeout passed to the MCP ClientSession.
            tool_filter: The tool filter to use for filtering tools.
            use_structured_content: Whether to use `tool_result.structured_content` when calling an
                MCP tool. Defaults to False for backwards compatibility - most MCP servers still
                include the structured content in the `tool_result.content`, and using it by
                default will cause duplicate content. You can set this to True if you know the
                server will not duplicate the structured content in the `tool_result.content`.
            max_retry_attempts: Number of times to retry failed list_tools/call_tool calls.
                Defaults to no retries.
            retry_backoff_seconds_base: The base delay, in seconds, for exponential
                backoff between retries.
            message_handler: Optional handler invoked for session messages as delivered by the
                ClientSession.
            require_approval: Approval policy for tools on this server. Accepts "always"/"never",
                a dict of tool names to those values, or an object with always/never tool lists.
            failure_error_function: Optional function used to convert MCP tool failures into
                a model-visible error message. If explicitly set to None, tool errors will be
                raised instead of converted. If left unset, the agent-level configuration (or
                SDK default) will be used.
            tool_meta_resolver: Optional callable that produces MCP request metadata (`_meta`) for
                tool calls. It is invoked by the Agents SDK before calling `call_tool`.
        """
        super().__init__(
            cache_tools_list=cache_tools_list,
            client_session_timeout_seconds=client_session_timeout_seconds,
            tool_filter=tool_filter,
            use_structured_content=use_structured_content,
            max_retry_attempts=max_retry_attempts,
            retry_backoff_seconds_base=retry_backoff_seconds_base,
            message_handler=message_handler,
            require_approval=require_approval,
            failure_error_function=failure_error_function,
            tool_meta_resolver=tool_meta_resolver,
        )

        self.params = StdioServerParameters(
            command=params["command"],
            args=params.get("args", []),
            env=params.get("env"),
            cwd=params.get("cwd"),
            encoding=params.get("encoding", "utf-8"),
            encoding_error_handler=params.get("encoding_error_handler", "strict"),
        )

        self._name = name or f"stdio: {self.params.command}"

    def create_streams(
        self,
    ) -> AbstractAsyncContextManager[MCPStreamTransport]:
        """Create the streams for the server."""
        return stdio_client(self.params)

    @property
    def name(self) -> str:
        """A readable name for the server."""
        return self._name


class MCPServerSseParams(TypedDict):
    """Mirrors the params in`mcp.client.sse.sse_client`."""

    url: str
    """The URL of the server."""

    headers: NotRequired[dict[str, str]]
    """The headers to send to the server."""

    timeout: NotRequired[float]
    """The timeout for the HTTP request. Defaults to 5 seconds."""

    sse_read_timeout: NotRequired[float]
    """The timeout for the SSE connection, in seconds. Defaults to 5 minutes."""

    auth: NotRequired[httpx.Auth | None]
    """Optional httpx authentication handler (e.g. ``httpx.BasicAuth``, a custom
    ``httpx.Auth`` subclass for OAuth token refresh, etc.).  When provided, it is
    passed directly to the underlying ``httpx.AsyncClient`` used by the SSE transport.
    """

    httpx_client_factory: NotRequired[HttpClientFactory]
    """Custom HTTP client factory for configuring httpx.AsyncClient behavior (e.g.
    to set custom SSL certificates, proxies, or other transport options).
    """


class MCPServerSse(_MCPServerWithClientSession):
    """MCP server implementation that uses the HTTP with SSE transport. See the [spec]
    (https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#http-with-sse)
    for details.
    """

    def __init__(
        self,
        params: MCPServerSseParams,
        cache_tools_list: bool = False,
        name: str | None = None,
        client_session_timeout_seconds: float | None = 5,
        tool_filter: ToolFilter = None,
        use_structured_content: bool = False,
        max_retry_attempts: int = 0,
        retry_backoff_seconds_base: float = 1.0,
        message_handler: MessageHandlerFnT | None = None,
        require_approval: RequireApprovalSetting = None,
        failure_error_function: ToolErrorFunction | None | _UnsetType = _UNSET,
        tool_meta_resolver: MCPToolMetaResolver | None = None,
    ):
        """Create a new MCP server based on the HTTP with SSE transport.

        Args:
            params: The params that configure the server. This includes the URL of the server,
                the headers to send to the server, the timeout for the HTTP request, and the
                timeout for the SSE connection.

            cache_tools_list: Whether to cache the tools list. If `True`, the tools list will be
                cached and only fetched from the server once. If `False`, the tools list will be
                fetched from the server on each call to `list_tools()`. The cache can be
                invalidated by calling `invalidate_tools_cache()`. You should set this to `True`
                if you know the server will not change its tools list, because it can drastically
                improve latency (by avoiding a round-trip to the server every time).

            name: A readable name for the server. If not provided, we'll create one from the
                URL.

            client_session_timeout_seconds: the read timeout passed to the MCP ClientSession.
            tool_filter: The tool filter to use for filtering tools.
            use_structured_content: Whether to use `tool_result.structured_content` when calling an
                MCP tool. Defaults to False for backwards compatibility - most MCP servers still
                include the structured content in the `tool_result.content`, and using it by
                default will cause duplicate content. You can set this to True if you know the
                server will not duplicate the structured content in the `tool_result.content`.
            max_retry_attempts: Number of times to retry failed list_tools/call_tool calls.
                Defaults to no retries.
            retry_backoff_seconds_base: The base delay, in seconds, for exponential
                backoff between retries.
            message_handler: Optional handler invoked for session messages as delivered by the
                ClientSession.
            require_approval: Approval policy for tools on this server. Accepts "always"/"never",
                a dict of tool names to those values, or an object with always/never tool lists.
            failure_error_function: Optional function used to convert MCP tool failures into
                a model-visible error message. If explicitly set to None, tool errors will be
                raised instead of converted. If left unset, the agent-level configuration (or
                SDK default) will be used.
            tool_meta_resolver: Optional callable that produces MCP request metadata (`_meta`) for
                tool calls. It is invoked by the Agents SDK before calling `call_tool`.
        """
        super().__init__(
            cache_tools_list=cache_tools_list,
            client_session_timeout_seconds=client_session_timeout_seconds,
            tool_filter=tool_filter,
            use_structured_content=use_structured_content,
            max_retry_attempts=max_retry_attempts,
            retry_backoff_seconds_base=retry_backoff_seconds_base,
            message_handler=message_handler,
            require_approval=require_approval,
            failure_error_function=failure_error_function,
            tool_meta_resolver=tool_meta_resolver,
        )

        self.params = params
        self._name = name or f"sse: {self.params['url']}"

    def create_streams(
        self,
    ) -> AbstractAsyncContextManager[MCPStreamTransport]:
        """Create the streams for the server."""
        kwargs: dict[str, Any] = {
            "url": self.params["url"],
            "headers": self.params.get("headers", None),
            "timeout": self.params.get("timeout", 5),
            "sse_read_timeout": self.params.get("sse_read_timeout", 60 * 5),
        }
        if "auth" in self.params:
            kwargs["auth"] = self.params["auth"]
        kwargs["httpx_client_factory"] = (
            self.params.get("httpx_client_factory") or _create_default_streamable_http_client
        )
        return sse_client(**kwargs)

    @property
    def name(self) -> str:
        """A readable name for the server."""
        return self._name


class MCPServerStreamableHttpParams(TypedDict):
    """Mirrors the params in`mcp.client.streamable_http.streamablehttp_client`."""

    url: str
    """The URL of the server."""

    headers: NotRequired[dict[str, str]]
    """The headers to send to the server."""

    timeout: NotRequired[timedelta | float]
    """The timeout for the HTTP request. Defaults to 5 seconds."""

    sse_read_timeout: NotRequired[timedelta | float]
    """The timeout for the SSE connection, in seconds. Defaults to 5 minutes."""

    terminate_on_close: NotRequired[bool]
    """Terminate on close"""

    httpx_client_factory: NotRequired[HttpClientFactory]
    """Custom HTTP client factory for configuring httpx.AsyncClient behavior."""

    auth: NotRequired[httpx.Auth | None]
    """Optional httpx authentication handler (e.g. ``httpx.BasicAuth``, a custom
    ``httpx.Auth`` subclass for OAuth token refresh, etc.).  When provided, it is
    passed directly to the underlying ``httpx.AsyncClient`` used by the Streamable HTTP
    transport.
    """

    ignore_initialized_notification_failure: NotRequired[bool]
    """Whether to ignore failures when sending the best-effort
    ``notifications/initialized`` POST.

    Defaults to ``False``. When set to ``True``, initialized-notification failures are
    logged and ignored so subsequent requests on the same transport can continue.
    """


class MCPServerStreamableHttp(_MCPServerWithClientSession):
    """MCP server implementation that uses the Streamable HTTP transport. See the [spec]
    (https://modelcontextprotocol.io/specification/2025-03-26/basic/transports#streamable-http)
    for details.
    """

    def __init__(
        self,
        params: MCPServerStreamableHttpParams,
        cache_tools_list: bool = False,
        name: str | None = None,
        client_session_timeout_seconds: float | None = 5,
        tool_filter: ToolFilter = None,
        use_structured_content: bool = False,
        max_retry_attempts: int = 0,
        retry_backoff_seconds_base: float = 1.0,
        message_handler: MessageHandlerFnT | None = None,
        require_approval: RequireApprovalSetting = None,
        failure_error_function: ToolErrorFunction | None | _UnsetType = _UNSET,
        tool_meta_resolver: MCPToolMetaResolver | None = None,
    ):
        """Create a new MCP server based on the Streamable HTTP transport.

        Args:
            params: The params that configure the server. This includes the URL of the server,
                the headers to send to the server, the timeout for the HTTP request, the
                timeout for the Streamable HTTP connection, whether we need to
                terminate on close, and an optional custom HTTP client factory.

            cache_tools_list: Whether to cache the tools list. If `True`, the tools list will be
                cached and only fetched from the server once. If `False`, the tools list will be
                fetched from the server on each call to `list_tools()`. The cache can be
                invalidated by calling `invalidate_tools_cache()`. You should set this to `True`
                if you know the server will not change its tools list, because it can drastically
                improve latency (by avoiding a round-trip to the server every time).

            name: A readable name for the server. If not provided, we'll create one from the
                URL.

            client_session_timeout_seconds: the read timeout passed to the MCP ClientSession.
            tool_filter: The tool filter to use for filtering tools.
            use_structured_content: Whether to use `tool_result.structured_content` when calling an
                MCP tool. Defaults to False for backwards compatibility - most MCP servers still
                include the structured content in the `tool_result.content`, and using it by
                default will cause duplicate content. You can set this to True if you know the
                server will not duplicate the structured content in the `tool_result.content`.
            max_retry_attempts: Number of times to retry failed list_tools/call_tool calls.
                Defaults to no retries.
            retry_backoff_seconds_base: The base delay, in seconds, for exponential
                backoff between retries.
            message_handler: Optional handler invoked for session messages as delivered by the
                ClientSession.
            require_approval: Approval policy for tools on this server. Accepts "always"/"never",
                a dict of tool names to those values, or an object with always/never tool lists.
            failure_error_function: Optional function used to convert MCP tool failures into
                a model-visible error message. If explicitly set to None, tool errors will be
                raised instead of converted. If left unset, the agent-level configuration (or
                SDK default) will be used.
            tool_meta_resolver: Optional callable that produces MCP request metadata (`_meta`) for
                tool calls. It is invoked by the Agents SDK before calling `call_tool`.
        """
        super().__init__(
            cache_tools_list=cache_tools_list,
            client_session_timeout_seconds=client_session_timeout_seconds,
            tool_filter=tool_filter,
            use_structured_content=use_structured_content,
            max_retry_attempts=max_retry_attempts,
            retry_backoff_seconds_base=retry_backoff_seconds_base,
            message_handler=message_handler,
            require_approval=require_approval,
            failure_error_function=failure_error_function,
            tool_meta_resolver=tool_meta_resolver,
        )

        self.params = params
        self._name = name or f"streamable_http: {self.params['url']}"
        self._serialize_session_requests = True

    def create_streams(
        self,
    ) -> AbstractAsyncContextManager[MCPStreamTransport]:
        """Create the streams for the server."""
        kwargs: dict[str, Any] = {
            "url": self.params["url"],
            "headers": self.params.get("headers", None),
            "timeout": self.params.get("timeout", 5),
            "sse_read_timeout": self.params.get("sse_read_timeout", 60 * 5),
            "terminate_on_close": self.params.get("terminate_on_close", True),
        }
        httpx_client_factory = self.params.get("httpx_client_factory")
        if self.params.get("ignore_initialized_notification_failure", False):
            return _streamablehttp_client_with_transport(
                **kwargs,
                httpx_client_factory=httpx_client_factory or _create_default_streamable_http_client,
                auth=self.params.get("auth"),
                transport_factory=_InitializedNotificationTolerantStreamableHTTPTransport,
            )
        kwargs["httpx_client_factory"] = (
            httpx_client_factory or _create_default_streamable_http_client
        )
        if "auth" in self.params:
            kwargs["auth"] = self.params["auth"]
        return streamablehttp_client(**kwargs)

    @asynccontextmanager
    async def _isolated_client_session(self):
        async with AsyncExitStack() as exit_stack:
            transport = await exit_stack.enter_async_context(self.create_streams())
            read, write, *_ = transport
            session = await exit_stack.enter_async_context(
                ClientSession(
                    read,
                    write,
                    timedelta(seconds=self.client_session_timeout_seconds)
                    if self.client_session_timeout_seconds
                    else None,
                    message_handler=self.message_handler,
                )
            )
            await session.initialize()
            yield session

    async def _call_tool_with_session(
        self,
        session: ClientSession,
        tool_name: str,
        arguments: dict[str, Any] | None,
        meta: dict[str, Any] | None = None,
    ) -> CallToolResult:
        if meta is None:
            return await session.call_tool(tool_name, arguments)
        return await session.call_tool(tool_name, arguments, meta=meta)

    def _should_retry_in_isolated_session(self, exc: BaseException) -> bool:
        if isinstance(
            exc,
            asyncio.CancelledError
            | ClosedResourceError
            | httpx.ConnectError
            | httpx.TimeoutException,
        ):
            return True
        if isinstance(exc, httpx.HTTPStatusError):
            return exc.response.status_code >= 500
        if isinstance(exc, McpError):
            return exc.error.code == httpx.codes.REQUEST_TIMEOUT
        if isinstance(exc, BaseExceptionGroup):
            return bool(exc.exceptions) and all(
                self._should_retry_in_isolated_session(inner) for inner in exc.exceptions
            )
        return False

    async def _call_tool_with_shared_session(
        self,
        tool_name: str,
        arguments: dict[str, Any] | None,
        meta: dict[str, Any] | None = None,
        *,
        allow_isolated_retry: bool,
    ) -> CallToolResult:
        session = self.session
        assert session is not None
        try:
            return await self._maybe_serialize_request(
                lambda: self._call_tool_with_session(session, tool_name, arguments, meta)
            )
        except BaseException as exc:
            if allow_isolated_retry and self._should_retry_in_isolated_session(exc):
                raise _SharedSessionRequestNeedsIsolation from exc
            raise

    async def _call_tool_with_isolated_retry(
        self,
        tool_name: str,
        arguments: dict[str, Any] | None,
        meta: dict[str, Any] | None = None,
        *,
        allow_isolated_retry: bool,
    ) -> tuple[CallToolResult, bool]:
        request_task = asyncio.create_task(
            self._call_tool_with_shared_session(
                tool_name,
                arguments,
                meta,
                allow_isolated_retry=allow_isolated_retry,
            )
        )
        try:
            return await asyncio.shield(request_task), False
        except _SharedSessionRequestNeedsIsolation:
            exit_stack = AsyncExitStack()
            try:
                session = await exit_stack.enter_async_context(self._isolated_client_session())
            except asyncio.CancelledError:
                await exit_stack.aclose()
                raise
            except BaseException as exc:
                await exit_stack.aclose()
                raise _IsolatedSessionRetryFailed() from exc
            try:
                try:
                    result = await self._call_tool_with_session(session, tool_name, arguments, meta)
                    return result, True
                except asyncio.CancelledError:
                    raise
                except BaseException as exc:
                    raise _IsolatedSessionRetryFailed() from exc
            finally:
                await exit_stack.aclose()
        except asyncio.CancelledError:
            if not request_task.done():
                request_task.cancel()
            try:
                await request_task
            except BaseException:
                pass
            raise

    async def call_tool(
        self,
        tool_name: str,
        arguments: dict[str, Any] | None,
        meta: dict[str, Any] | None = None,
    ) -> CallToolResult:
        if not self.session:
            raise UserError("Server not initialized. Make sure you call `connect()` first.")

        try:
            self._validate_required_parameters(tool_name=tool_name, arguments=arguments)
            retries_used = 0
            first_attempt = True
            while True:
                if not first_attempt and self.max_retry_attempts != -1:
                    retries_used += 1
                allow_isolated_retry = (
                    self.max_retry_attempts == -1 or retries_used < self.max_retry_attempts
                )
                try:
                    result, used_isolated_retry = await self._call_tool_with_isolated_retry(
                        tool_name,
                        arguments,
                        meta,
                        allow_isolated_retry=allow_isolated_retry,
                    )
                    if used_isolated_retry and self.max_retry_attempts != -1:
                        retries_used += 1
                    return result
                except _IsolatedSessionRetryFailed as exc:
                    retries_used += 1
                    if self.max_retry_attempts != -1 and retries_used >= self.max_retry_attempts:
                        if exc.__cause__ is not None:
                            raise exc.__cause__ from exc
                        raise exc
                    backoff = self.retry_backoff_seconds_base * (2 ** (retries_used - 1))
                    await asyncio.sleep(backoff)
                except Exception:
                    if self.max_retry_attempts != -1 and retries_used >= self.max_retry_attempts:
                        raise
                    backoff = self.retry_backoff_seconds_base * (2**retries_used)
                    await asyncio.sleep(backoff)
                first_attempt = False
        except httpx.HTTPStatusError as e:
            status_code = e.response.status_code
            raise UserError(
                f"Failed to call tool '{tool_name}' on MCP server '{self.name}': "
                f"HTTP error {status_code}"
            ) from e
        except httpx.ConnectError as e:
            raise UserError(
                f"Failed to call tool '{tool_name}' on MCP server '{self.name}': Connection lost. "
                f"The server may have disconnected."
            ) from e
        except BaseExceptionGroup as e:
            http_error = self._extract_http_error_from_exception(e)
            if isinstance(http_error, httpx.HTTPStatusError):
                status_code = http_error.response.status_code
                raise UserError(
                    f"Failed to call tool '{tool_name}' on MCP server '{self.name}': "
                    f"HTTP error {status_code}"
                ) from http_error
            if isinstance(http_error, httpx.ConnectError):
                raise UserError(
                    f"Failed to call tool '{tool_name}' on MCP server '{self.name}': "
                    "Connection lost. The server may have disconnected."
                ) from http_error
            if isinstance(http_error, httpx.TimeoutException):
                raise UserError(
                    f"Failed to call tool '{tool_name}' on MCP server '{self.name}': "
                    "Connection timeout."
                ) from http_error
            raise

    @property
    def name(self) -> str:
        """A readable name for the server."""
        return self._name

    @property
    def session_id(self) -> str | None:
        """The MCP session ID assigned by the server, or None if not yet connected
        or if the server did not issue a session ID.

        The session ID is stable for the lifetime of this server instance's connection.
        You can persist it and pass it back via the Mcp-Session-Id request header
        (params["headers"]) on a new MCPServerStreamableHttp instance to resume
        the same server-side session across process restarts or stateless workers.

        Example::

            async with MCPServerStreamableHttp(params={"url": url}) as server:
                session_id = server.session_id

            # In a new worker / process:
            async with MCPServerStreamableHttp(
                params={"url": url, "headers": {"Mcp-Session-Id": session_id}}
            ) as server:
                # Resumes the same server-side session.
                ...
        """
        if self._get_session_id is None:
            return None
        return self._get_session_id()
