from __future__ import annotations import asyncio import copy import datetime import secrets from contextlib import AsyncExitStack, asynccontextmanager from dataclasses import dataclass, field from pathlib import Path from typing import Any, Generic, Literal, TypeVar, cast, overload import anyio import httpx import mcp.types import pydantic_core from exceptiongroup import catch from mcp import ClientSession from pydantic import AnyUrl import fastmcp from fastmcp.client.elicitation import ElicitationHandler, create_elicitation_callback from fastmcp.client.logging import ( LogHandler, create_log_callback, default_log_handler, ) from fastmcp.client.messages import MessageHandler, MessageHandlerT from fastmcp.client.progress import ProgressHandler, default_progress_handler from fastmcp.client.roots import ( RootsHandler, RootsList, create_roots_callback, ) from fastmcp.client.sampling import ( ClientSamplingHandler, SamplingHandler, create_sampling_callback, ) from fastmcp.exceptions import ToolError from fastmcp.mcp_config import MCPConfig from fastmcp.server import FastMCP from fastmcp.utilities.exceptions import get_catch_handlers from fastmcp.utilities.json_schema_type import json_schema_to_type from fastmcp.utilities.logging import get_logger from fastmcp.utilities.types import get_cached_typeadapter from .transports import ( ClientTransport, ClientTransportT, FastMCP1Server, FastMCPTransport, MCPConfigTransport, NodeStdioTransport, PythonStdioTransport, SessionKwargs, SSETransport, StdioTransport, StreamableHttpTransport, infer_transport, ) __all__ = [ "Client", "ClientSamplingHandler", "ElicitationHandler", "LogHandler", "MessageHandler", "ProgressHandler", "RootsHandler", "RootsList", "SamplingHandler", "SessionKwargs", ] logger = get_logger(__name__) T = TypeVar("T", bound="ClientTransport") def _timeout_to_seconds( timeout: datetime.timedelta | float | int | None, ) -> float | None: if timeout is None: return None if isinstance(timeout, datetime.timedelta): return timeout.total_seconds() return float(timeout) @dataclass class ClientSessionState: """Holds all session-related state for a Client instance. This allows clean separation of configuration (which is copied) from session state (which should be fresh for each new client instance). """ session: ClientSession | None = None nesting_counter: int = 0 lock: anyio.Lock = field(default_factory=anyio.Lock) session_task: asyncio.Task | None = None ready_event: anyio.Event = field(default_factory=anyio.Event) stop_event: anyio.Event = field(default_factory=anyio.Event) initialize_result: mcp.types.InitializeResult | None = None class Client(Generic[ClientTransportT]): """ MCP client that delegates connection management to a Transport instance. The Client class is responsible for MCP protocol logic, while the Transport handles connection establishment and management. Client provides methods for working with resources, prompts, tools and other MCP capabilities. This client supports reentrant context managers (multiple concurrent `async with client:` blocks) using reference counting and background session management. This allows efficient session reuse in any scenario with nested or concurrent client usage. MCP SDK 1.10 introduced automatic list_tools() calls during call_tool() execution. This created a race condition where events could be reset while other tasks were waiting on them, causing deadlocks. The issue was exposed in proxy scenarios but affects any reentrant usage. The solution uses reference counting to track active context managers, a background task to manage the session lifecycle, events to coordinate between tasks, and ensures all session state changes happen within a lock. Events are only created when needed, never reset outside locks. This design prevents race conditions where tasks wait on events that get replaced by other tasks, ensuring reliable coordination in concurrent scenarios. Args: transport: Connection source specification, which can be: - ClientTransport: Direct transport instance - FastMCP: In-process FastMCP server - AnyUrl or str: URL to connect to - Path: File path for local socket - MCPConfig: MCP server configuration - dict: Transport configuration roots: Optional RootsList or RootsHandler for filesystem access sampling_handler: Optional handler for sampling requests log_handler: Optional handler for log messages message_handler: Optional handler for protocol messages progress_handler: Optional handler for progress notifications timeout: Optional timeout for requests (seconds or timedelta) init_timeout: Optional timeout for initial connection (seconds or timedelta). Set to 0 to disable. If None, uses the value in the FastMCP global settings. Examples: ```python # Connect to FastMCP server client = Client("http://localhost:8080") async with client: # List available resources resources = await client.list_resources() # Call a tool result = await client.call_tool("my_tool", {"param": "value"}) ``` """ @overload def __init__(self: Client[T], transport: T, *args: Any, **kwargs: Any) -> None: ... @overload def __init__( self: Client[SSETransport | StreamableHttpTransport], transport: AnyUrl, *args: Any, **kwargs: Any, ) -> None: ... @overload def __init__( self: Client[FastMCPTransport], transport: FastMCP | FastMCP1Server, *args: Any, **kwargs: Any, ) -> None: ... @overload def __init__( self: Client[PythonStdioTransport | NodeStdioTransport], transport: Path, *args: Any, **kwargs: Any, ) -> None: ... @overload def __init__( self: Client[MCPConfigTransport], transport: MCPConfig | dict[str, Any], *args: Any, **kwargs: Any, ) -> None: ... @overload def __init__( self: Client[ PythonStdioTransport | NodeStdioTransport | SSETransport | StreamableHttpTransport ], transport: str, *args: Any, **kwargs: Any, ) -> None: ... def __init__( self, transport: ( ClientTransportT | FastMCP | FastMCP1Server | AnyUrl | Path | MCPConfig | dict[str, Any] | str ), name: str | None = None, roots: RootsList | RootsHandler | None = None, sampling_handler: ClientSamplingHandler | None = None, elicitation_handler: ElicitationHandler | None = None, log_handler: LogHandler | None = None, message_handler: MessageHandlerT | MessageHandler | None = None, progress_handler: ProgressHandler | None = None, timeout: datetime.timedelta | float | int | None = None, auto_initialize: bool = True, init_timeout: datetime.timedelta | float | int | None = None, client_info: mcp.types.Implementation | None = None, auth: httpx.Auth | Literal["oauth"] | str | None = None, ) -> None: self.name = name or self.generate_name() self.transport = cast(ClientTransportT, infer_transport(transport)) if auth is not None: self.transport._set_auth(auth) if log_handler is None: log_handler = default_log_handler if progress_handler is None: progress_handler = default_progress_handler self._progress_handler = progress_handler # Convert timeout to timedelta if needed if isinstance(timeout, int | float): timeout = datetime.timedelta(seconds=float(timeout)) # handle init handshake timeout if init_timeout is None: init_timeout = fastmcp.settings.client_init_timeout self._init_timeout = _timeout_to_seconds(init_timeout) self.auto_initialize = auto_initialize self._session_kwargs: SessionKwargs = { "sampling_callback": None, "list_roots_callback": None, "logging_callback": create_log_callback(log_handler), "message_handler": message_handler, "read_timeout_seconds": timeout, # ty: ignore[invalid-argument-type] "client_info": client_info, } if roots is not None: self.set_roots(roots) if sampling_handler is not None: self._session_kwargs["sampling_callback"] = create_sampling_callback( sampling_handler ) if elicitation_handler is not None: self._session_kwargs["elicitation_callback"] = create_elicitation_callback( elicitation_handler ) # Session context management - see class docstring for detailed explanation self._session_state = ClientSessionState() @property def session(self) -> ClientSession: """Get the current active session. Raises RuntimeError if not connected.""" if self._session_state.session is None: raise RuntimeError( "Client is not connected. Use the 'async with client:' context manager first." ) return self._session_state.session @property def initialize_result(self) -> mcp.types.InitializeResult | None: """Get the result of the initialization request.""" return self._session_state.initialize_result def set_roots(self, roots: RootsList | RootsHandler) -> None: """Set the roots for the client. This does not automatically call `send_roots_list_changed`.""" self._session_kwargs["list_roots_callback"] = create_roots_callback(roots) def set_sampling_callback(self, sampling_callback: ClientSamplingHandler) -> None: """Set the sampling callback for the client.""" self._session_kwargs["sampling_callback"] = create_sampling_callback( sampling_callback ) def set_elicitation_callback( self, elicitation_callback: ElicitationHandler ) -> None: """Set the elicitation callback for the client.""" self._session_kwargs["elicitation_callback"] = create_elicitation_callback( elicitation_callback ) def is_connected(self) -> bool: """Check if the client is currently connected.""" return self._session_state.session is not None def new(self) -> Client[ClientTransportT]: """Create a new client instance with the same configuration but fresh session state. This creates a new client with the same transport, handlers, and configuration, but with no active session. Useful for creating independent sessions that don't share state with the original client. Returns: A new Client instance with the same configuration but disconnected state. Example: ```python # Create a fresh client for each concurrent operation fresh_client = client.new() async with fresh_client: await fresh_client.call_tool("some_tool", {}) ``` """ new_client = copy.copy(self) if not isinstance(self.transport, StdioTransport): # Reset session state to fresh state new_client._session_state = ClientSessionState() new_client.name += f":{secrets.token_hex(2)}" return new_client @asynccontextmanager async def _context_manager(self): with catch(get_catch_handlers()): async with self.transport.connect_session( **self._session_kwargs ) as session: self._session_state.session = session # Initialize the session try: if self.auto_initialize: await self.initialize() yield except anyio.ClosedResourceError as e: raise RuntimeError("Server session was closed unexpectedly") from e finally: self._session_state.session = None self._session_state.initialize_result = None async def __aenter__(self): return await self._connect() async def __aexit__(self, exc_type, exc_val, exc_tb): await self._disconnect() async def _connect(self): """ Establish or reuse a session connection. This method implements the reentrant context manager pattern: - First call: Creates background session task and waits for it to be ready - Subsequent calls: Increments reference counter and reuses existing session - All operations protected by _context_lock to prevent race conditions The critical fix: Events are only created when starting a new session, never reset outside the lock, preventing the deadlock scenario where tasks wait on events that get replaced by other tasks. """ # ensure only one session is running at a time to avoid race conditions async with self._session_state.lock: need_to_start = ( self._session_state.session_task is None or self._session_state.session_task.done() ) if need_to_start: if self._session_state.nesting_counter != 0: raise RuntimeError( f"Internal error: nesting counter should be 0 when starting new session, got {self._session_state.nesting_counter}" ) self._session_state.stop_event = anyio.Event() self._session_state.ready_event = anyio.Event() self._session_state.session_task = asyncio.create_task( self._session_runner() ) await self._session_state.ready_event.wait() if self._session_state.session_task.done(): exception = self._session_state.session_task.exception() if exception is None: raise RuntimeError( "Session task completed without exception but connection failed" ) if isinstance(exception, httpx.HTTPStatusError): raise exception raise RuntimeError( f"Client failed to connect: {exception}" ) from exception self._session_state.nesting_counter += 1 return self async def _disconnect(self, force: bool = False): """ Disconnect from session using reference counting. This method implements proper cleanup for reentrant context managers: - Decrements reference counter for normal exits - Only stops session when counter reaches 0 (no more active contexts) - Force flag bypasses reference counting for immediate shutdown - Session cleanup happens inside the lock to ensure atomicity Key fix: Removed the problematic "Reset for future reconnects" logic that was resetting events outside the lock, causing race conditions. Event recreation now happens only in _connect() when actually needed. """ # ensure only one session is running at a time to avoid race conditions async with self._session_state.lock: # if we are forcing a disconnect, reset the nesting counter if force: self._session_state.nesting_counter = 0 # otherwise decrement to check if we are done nesting else: self._session_state.nesting_counter = max( 0, self._session_state.nesting_counter - 1 ) # if we are still nested, return if self._session_state.nesting_counter > 0: return # stop the active session if self._session_state.session_task is None: return self._session_state.stop_event.set() # wait for session to finish to ensure state has been reset await self._session_state.session_task self._session_state.session_task = None async def _session_runner(self): """ Background task that manages the actual session lifecycle. This task runs in the background and: 1. Establishes the transport connection via _context_manager() 2. Signals that the session is ready via _ready_event.set() 3. Waits for disconnect signal via _stop_event.wait() 4. Ensures _ready_event is always set, even on failures The simplified error handling (compared to the original) removes redundant exception re-raising while ensuring waiting tasks are always unblocked via the finally block. """ try: async with AsyncExitStack() as stack: await stack.enter_async_context(self._context_manager()) # Session/context is now ready self._session_state.ready_event.set() # Wait until disconnect/stop is requested await self._session_state.stop_event.wait() finally: # Ensure ready event is set even if context manager entry fails self._session_state.ready_event.set() async def close(self): await self._disconnect(force=True) await self.transport.close() # --- MCP Client Methods --- async def initialize( self, timeout: datetime.timedelta | float | int | None = None, ) -> mcp.types.InitializeResult: """Send an initialize request to the server. This method performs the MCP initialization handshake with the server, exchanging capabilities and server information. It is idempotent - calling it multiple times returns the cached result from the first call. The initialization happens automatically when entering the client context manager unless `auto_initialize=False` was set during client construction. Manual calls to this method are only needed when auto-initialization is disabled. Args: timeout: Optional timeout for the initialization request (seconds or timedelta). If None, uses the client's init_timeout setting. Returns: InitializeResult: The server's initialization response containing server info, capabilities, protocol version, and optional instructions. Raises: RuntimeError: If the client is not connected or initialization times out. Example: ```python # With auto-initialization disabled client = Client(server, auto_initialize=False) async with client: result = await client.initialize() print(f"Server: {result.serverInfo.name}") print(f"Instructions: {result.instructions}") ``` """ if self.initialize_result is not None: return self.initialize_result if timeout is None: timeout = self._init_timeout try: with anyio.fail_after(_timeout_to_seconds(timeout)): initialize_result = await self.session.initialize() self._session_state.initialize_result = initialize_result return initialize_result except TimeoutError as e: raise RuntimeError("Failed to initialize server session") from e async def ping(self) -> bool: """Send a ping request.""" result = await self.session.send_ping() return isinstance(result, mcp.types.EmptyResult) async def cancel( self, request_id: str | int, reason: str | None = None, ) -> None: """Send a cancellation notification for an in-progress request.""" notification = mcp.types.ClientNotification( root=mcp.types.CancelledNotification( method="notifications/cancelled", params=mcp.types.CancelledNotificationParams( requestId=request_id, reason=reason, ), ) ) await self.session.send_notification(notification) async def progress( self, progress_token: str | int, progress: float, total: float | None = None, message: str | None = None, ) -> None: """Send a progress notification.""" await self.session.send_progress_notification( progress_token, progress, total, message ) async def set_logging_level(self, level: mcp.types.LoggingLevel) -> None: """Send a logging/setLevel request.""" await self.session.set_logging_level(level) async def send_roots_list_changed(self) -> None: """Send a roots/list_changed notification.""" await self.session.send_roots_list_changed() # --- Resources --- async def list_resources_mcp(self) -> mcp.types.ListResourcesResult: """Send a resources/list request and return the complete MCP protocol result. Returns: mcp.types.ListResourcesResult: The complete response object from the protocol, containing the list of resources and any additional metadata. Raises: RuntimeError: If called while the client is not connected. """ logger.debug(f"[{self.name}] called list_resources") result = await self.session.list_resources() return result async def list_resources(self) -> list[mcp.types.Resource]: """Retrieve a list of resources available on the server. Returns: list[mcp.types.Resource]: A list of Resource objects. Raises: RuntimeError: If called while the client is not connected. """ result = await self.list_resources_mcp() return result.resources async def list_resource_templates_mcp( self, ) -> mcp.types.ListResourceTemplatesResult: """Send a resources/listResourceTemplates request and return the complete MCP protocol result. Returns: mcp.types.ListResourceTemplatesResult: The complete response object from the protocol, containing the list of resource templates and any additional metadata. Raises: RuntimeError: If called while the client is not connected. """ logger.debug(f"[{self.name}] called list_resource_templates") result = await self.session.list_resource_templates() return result async def list_resource_templates( self, ) -> list[mcp.types.ResourceTemplate]: """Retrieve a list of resource templates available on the server. Returns: list[mcp.types.ResourceTemplate]: A list of ResourceTemplate objects. Raises: RuntimeError: If called while the client is not connected. """ result = await self.list_resource_templates_mcp() return result.resourceTemplates async def read_resource_mcp( self, uri: AnyUrl | str ) -> mcp.types.ReadResourceResult: """Send a resources/read request and return the complete MCP protocol result. Args: uri (AnyUrl | str): The URI of the resource to read. Can be a string or an AnyUrl object. Returns: mcp.types.ReadResourceResult: The complete response object from the protocol, containing the resource contents and any additional metadata. Raises: RuntimeError: If called while the client is not connected. """ logger.debug(f"[{self.name}] called read_resource: {uri}") if isinstance(uri, str): uri = AnyUrl(uri) # Ensure AnyUrl result = await self.session.read_resource(uri) return result async def read_resource( self, uri: AnyUrl | str ) -> list[mcp.types.TextResourceContents | mcp.types.BlobResourceContents]: """Read the contents of a resource or resolved template. Args: uri (AnyUrl | str): The URI of the resource to read. Can be a string or an AnyUrl object. Returns: list[mcp.types.TextResourceContents | mcp.types.BlobResourceContents]: A list of content objects, typically containing either text or binary data. Raises: RuntimeError: If called while the client is not connected. """ if isinstance(uri, str): try: uri = AnyUrl(uri) # Ensure AnyUrl except Exception as e: raise ValueError( f"Provided resource URI is invalid: {str(uri)!r}" ) from e result = await self.read_resource_mcp(uri) return result.contents # async def subscribe_resource(self, uri: AnyUrl | str) -> None: # """Send a resources/subscribe request.""" # if isinstance(uri, str): # uri = AnyUrl(uri) # await self.session.subscribe_resource(uri) # async def unsubscribe_resource(self, uri: AnyUrl | str) -> None: # """Send a resources/unsubscribe request.""" # if isinstance(uri, str): # uri = AnyUrl(uri) # await self.session.unsubscribe_resource(uri) # --- Prompts --- async def list_prompts_mcp(self) -> mcp.types.ListPromptsResult: """Send a prompts/list request and return the complete MCP protocol result. Returns: mcp.types.ListPromptsResult: The complete response object from the protocol, containing the list of prompts and any additional metadata. Raises: RuntimeError: If called while the client is not connected. """ logger.debug(f"[{self.name}] called list_prompts") result = await self.session.list_prompts() return result async def list_prompts(self) -> list[mcp.types.Prompt]: """Retrieve a list of prompts available on the server. Returns: list[mcp.types.Prompt]: A list of Prompt objects. Raises: RuntimeError: If called while the client is not connected. """ result = await self.list_prompts_mcp() return result.prompts # --- Prompt --- async def get_prompt_mcp( self, name: str, arguments: dict[str, Any] | None = None ) -> mcp.types.GetPromptResult: """Send a prompts/get request and return the complete MCP protocol result. Args: name (str): The name of the prompt to retrieve. arguments (dict[str, Any] | None, optional): Arguments to pass to the prompt. Defaults to None. Returns: mcp.types.GetPromptResult: The complete response object from the protocol, containing the prompt messages and any additional metadata. Raises: RuntimeError: If called while the client is not connected. """ logger.debug(f"[{self.name}] called get_prompt: {name}") # Serialize arguments for MCP protocol - convert non-string values to JSON serialized_arguments: dict[str, str] | None = None if arguments: serialized_arguments = {} for key, value in arguments.items(): if isinstance(value, str): serialized_arguments[key] = value else: # Use pydantic_core.to_json for consistent serialization serialized_arguments[key] = pydantic_core.to_json(value).decode( "utf-8" ) result = await self.session.get_prompt( name=name, arguments=serialized_arguments ) return result async def get_prompt( self, name: str, arguments: dict[str, Any] | None = None ) -> mcp.types.GetPromptResult: """Retrieve a rendered prompt message list from the server. Args: name (str): The name of the prompt to retrieve. arguments (dict[str, Any] | None, optional): Arguments to pass to the prompt. Defaults to None. Returns: mcp.types.GetPromptResult: The complete response object from the protocol, containing the prompt messages and any additional metadata. Raises: RuntimeError: If called while the client is not connected. """ result = await self.get_prompt_mcp(name=name, arguments=arguments) return result # --- Completion --- async def complete_mcp( self, ref: mcp.types.ResourceTemplateReference | mcp.types.PromptReference, argument: dict[str, str], context_arguments: dict[str, Any] | None = None, ) -> mcp.types.CompleteResult: """Send a completion request and return the complete MCP protocol result. Args: ref (mcp.types.ResourceTemplateReference | mcp.types.PromptReference): The reference to complete. argument (dict[str, str]): Arguments to pass to the completion request. context_arguments (dict[str, Any] | None, optional): Optional context arguments to include with the completion request. Defaults to None. Returns: mcp.types.CompleteResult: The complete response object from the protocol, containing the completion and any additional metadata. Raises: RuntimeError: If called while the client is not connected. """ logger.debug(f"[{self.name}] called complete: {ref}") result = await self.session.complete( ref=ref, argument=argument, context_arguments=context_arguments ) return result async def complete( self, ref: mcp.types.ResourceTemplateReference | mcp.types.PromptReference, argument: dict[str, str], context_arguments: dict[str, Any] | None = None, ) -> mcp.types.Completion: """Send a completion request to the server. Args: ref (mcp.types.ResourceTemplateReference | mcp.types.PromptReference): The reference to complete. argument (dict[str, str]): Arguments to pass to the completion request. context_arguments (dict[str, Any] | None, optional): Optional context arguments to include with the completion request. Defaults to None. Returns: mcp.types.Completion: The completion object. Raises: RuntimeError: If called while the client is not connected. """ result = await self.complete_mcp( ref=ref, argument=argument, context_arguments=context_arguments ) return result.completion # --- Tools --- async def list_tools_mcp(self) -> mcp.types.ListToolsResult: """Send a tools/list request and return the complete MCP protocol result. Returns: mcp.types.ListToolsResult: The complete response object from the protocol, containing the list of tools and any additional metadata. Raises: RuntimeError: If called while the client is not connected. """ logger.debug(f"[{self.name}] called list_tools") result = await self.session.list_tools() return result async def list_tools(self) -> list[mcp.types.Tool]: """Retrieve a list of tools available on the server. Returns: list[mcp.types.Tool]: A list of Tool objects. Raises: RuntimeError: If called while the client is not connected. """ result = await self.list_tools_mcp() return result.tools # --- Call Tool --- async def call_tool_mcp( self, name: str, arguments: dict[str, Any], progress_handler: ProgressHandler | None = None, timeout: datetime.timedelta | float | int | None = None, meta: dict[str, Any] | None = None, ) -> mcp.types.CallToolResult: """Send a tools/call request and return the complete MCP protocol result. This method returns the raw CallToolResult object, which includes an isError flag and other metadata. It does not raise an exception if the tool call results in an error. Args: name (str): The name of the tool to call. arguments (dict[str, Any]): Arguments to pass to the tool. timeout (datetime.timedelta | float | int | None, optional): The timeout for the tool call. Defaults to None. progress_handler (ProgressHandler | None, optional): The progress handler to use for the tool call. Defaults to None. meta (dict[str, Any] | None, optional): Additional metadata to include with the request. This is useful for passing contextual information (like user IDs, trace IDs, or preferences) that shouldn't be tool arguments but may influence server-side processing. The server can access this via `context.request_context.meta`. Defaults to None. Returns: mcp.types.CallToolResult: The complete response object from the protocol, containing the tool result and any additional metadata. Raises: RuntimeError: If called while the client is not connected. """ logger.debug(f"[{self.name}] called call_tool: {name}") # Convert timeout to timedelta if needed if isinstance(timeout, int | float): timeout = datetime.timedelta(seconds=float(timeout)) result = await self.session.call_tool( name=name, arguments=arguments, read_timeout_seconds=timeout, # ty: ignore[invalid-argument-type] progress_callback=progress_handler or self._progress_handler, meta=meta, ) return result async def call_tool( self, name: str, arguments: dict[str, Any] | None = None, timeout: datetime.timedelta | float | int | None = None, progress_handler: ProgressHandler | None = None, raise_on_error: bool = True, meta: dict[str, Any] | None = None, ) -> CallToolResult: """Call a tool on the server. Unlike call_tool_mcp, this method raises a ToolError if the tool call results in an error. Args: name (str): The name of the tool to call. arguments (dict[str, Any] | None, optional): Arguments to pass to the tool. Defaults to None. timeout (datetime.timedelta | float | int | None, optional): The timeout for the tool call. Defaults to None. progress_handler (ProgressHandler | None, optional): The progress handler to use for the tool call. Defaults to None. raise_on_error (bool, optional): Whether to raise a ToolError if the tool call results in an error. Defaults to True. meta (dict[str, Any] | None, optional): Additional metadata to include with the request. This is useful for passing contextual information (like user IDs, trace IDs, or preferences) that shouldn't be tool arguments but may influence server-side processing. The server can access this via `context.request_context.meta`. Defaults to None. Returns: CallToolResult: The content returned by the tool. If the tool returns structured outputs, they are returned as a dataclass (if an output schema is available) or a dictionary; otherwise, a list of content blocks is returned. Note: to receive both structured and unstructured outputs, use call_tool_mcp instead and access the raw result object. Raises: ToolError: If the tool call results in an error. RuntimeError: If called while the client is not connected. """ result = await self.call_tool_mcp( name=name, arguments=arguments or {}, timeout=timeout, progress_handler=progress_handler, meta=meta, ) data = None if result.isError and raise_on_error: msg = cast(mcp.types.TextContent, result.content[0]).text raise ToolError(msg) elif result.structuredContent: try: if name not in self.session._tool_output_schemas: await self.session.list_tools() if name in self.session._tool_output_schemas: output_schema = self.session._tool_output_schemas.get(name) if output_schema: if output_schema.get("x-fastmcp-wrap-result"): output_schema = output_schema.get("properties", {}).get( "result" ) structured_content = result.structuredContent.get("result") else: structured_content = result.structuredContent output_type = json_schema_to_type(output_schema) type_adapter = get_cached_typeadapter(output_type) data = type_adapter.validate_python(structured_content) else: data = result.structuredContent except Exception as e: logger.error(f"[{self.name}] Error parsing structured content: {e}") return CallToolResult( content=result.content, structured_content=result.structuredContent, meta=result.meta, data=data, is_error=result.isError, ) @classmethod def generate_name(cls, name: str | None = None) -> str: class_name = cls.__name__ if name is None: return f"{class_name}-{secrets.token_hex(2)}" else: return f"{class_name}-{name}-{secrets.token_hex(2)}" @dataclass class CallToolResult: content: list[mcp.types.ContentBlock] structured_content: dict[str, Any] | None meta: dict[str, Any] | None data: Any = None is_error: bool = False