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471 | class MCPClient:
    """FastMCP-based client for communicating with MCP servers."""
    def __init__(
        self,
        config: MCPServerConfig,
        elicitation_callback: ElicitationHandler | None = None,
        sampling_callback: ClientSamplingHandler | None = None,
        progress_handler: ContextualProgressHandler | None = None,
        message_handler: MessageHandlerT | MessageHandler | None = None,
        accessible_roots: list[str] | None = None,
    ):
        self._elicitation_callback = elicitation_callback
        self.config = config
        self._sampling_callback = sampling_callback
        self._progress_handler = MultiEventHandler[ContextualProgressHandler](
            handlers=[progress_handler] if progress_handler else []
        )
        # Store message handler or mark for lazy creation
        self._message_handler = message_handler
        self._accessible_roots = accessible_roots or []
        self._client = self._get_client(self.config)
        self._available_tools: list[MCPTool] = []
        self._connected = False
    async def __aenter__(self) -> Self:
        """Enter context manager."""
        try:
            # First attempt with configured auth
            await self._client.__aenter__()
        except Exception as first_error:
            # OAuth fallback for HTTP/SSE if not already using OAuth
            if _should_try_oauth_fallback(self.config):
                try:
                    with contextlib.suppress(Exception):
                        await self._client.__aexit__(None, None, None)
                    self._client = self._get_client(self.config, force_oauth=True)
                    await self._client.__aenter__()
                    logger.info("Connected with OAuth fallback")
                except Exception:  # noqa: BLE001
                    raise first_error from None
            else:
                raise
        self._connected = True
        await self._refresh_tools()
        return self
    async def __aexit__(
        self,
        exc_type: type[BaseException] | None,
        exc_val: BaseException | None,
        exc_tb: TracebackType | None,
    ):
        """Exit context manager and cleanup."""
        try:
            await self._client.__aexit__(None, None, None)
        except Exception as e:  # noqa: BLE001
            logger.warning("Error during FastMCP client cleanup: %s", e)
        finally:
            self._connected = False
            self._available_tools = []
    async def _log_handler(self, message: LogMessage) -> None:
        """Handle server log messages."""
        level = LEVEL_MAP.get(message.level.lower(), logging.INFO)
        logger.log(level, "MCP Server: %s", message.data)
    async def _elicitation_handler_impl(
        self,
        message: str,
        response_type: type,
        params: ElicitRequestParams,
        context: RequestContext,
    ) -> ElicitResult[dict[str, Any]] | dict[str, Any] | None:
        """Handle elicitation requests from server."""
        if not self._elicitation_callback:
            return None
        try:
            # Direct FastMCP callback - no compatibility layer
            return await self._elicitation_callback(
                message, response_type, params, context
            )
        except Exception:
            logger.exception("Elicitation handler failed")
            from fastmcp.client.elicitation import ElicitResult
            return ElicitResult(action="cancel")
    async def _sampling_handler_impl(
        self,
        messages: list[SamplingMessage],
        params: CreateMessageRequestParams,
        context: RequestContext,
    ) -> str:
        """Handle sampling requests from server."""
        if not self._sampling_callback:
            return "Sampling not supported"
        try:
            result = self._sampling_callback(messages, params, context)
            if inspect.iscoroutine(result):
                result = await result
            return str(result)
        except Exception as e:
            logger.exception("Sampling handler failed")
            return f"Sampling failed: {e}"
    def _get_client(self, config: MCPServerConfig, force_oauth: bool = False):
        """Create FastMCP client based on config."""
        import fastmcp
        from fastmcp.client import SSETransport, StreamableHttpTransport
        from fastmcp.client.transports import StdioTransport
        from llmling_agent_config.mcp_server import (
            SSEMCPServerConfig,
            StdioMCPServerConfig,
            StreamableHTTPMCPServerConfig,
        )
        transport: ClientTransport
        # Create transport based on config type
        match config:
            case StdioMCPServerConfig(command=command, args=args):
                env = config.get_env_vars()
                transport = StdioTransport(command=command, args=args, env=env)
                oauth = False
                if force_oauth:
                    msg = "OAuth is not supported for StdioMCPServerConfig"
                    raise ValueError(msg)
            case SSEMCPServerConfig(url=url, headers=headers, auth=auth):
                transport = SSETransport(url=url, headers=headers)
                oauth = auth.oauth
            case StreamableHTTPMCPServerConfig(url=url, headers=headers, auth=auth):
                transport = StreamableHttpTransport(url=url, headers=headers)
                oauth = auth.oauth
            case _:
                msg = f"Unsupported server config type: {type(config)}"
                raise ValueError(msg)
        # Create message handler if needed
        msg_handler: MessageHandlerT | MessageHandler | None
        if not self._message_handler:
            from llmling_agent.mcp_server.message_handler import MCPMessageHandler
            msg_handler = MCPMessageHandler(self)
        else:
            msg_handler = self._message_handler
        return fastmcp.Client(
            transport,
            log_handler=self._log_handler,
            roots=self._accessible_roots,
            timeout=config.timeout,
            elicitation_handler=self._elicitation_handler_impl,
            sampling_handler=self._sampling_handler_impl,
            message_handler=msg_handler,
            auth="oauth" if (force_oauth or oauth) else None,
        )
    async def _refresh_tools(self) -> None:
        """Refresh the list of available tools from the server."""
        if not self._client or not self._connected:
            return
        try:
            tools = await self._client.list_tools()
            self._available_tools = tools
            logger.debug("Refreshed %d tools from MCP server", len(tools))
        except Exception as e:  # noqa: BLE001
            logger.warning("Failed to refresh tools: %s", e)
            self._available_tools = []
    def get_tools(self) -> list[dict[str, Any]]:
        """Get tools in OpenAI function format."""
        return [
            {"type": "function", "function": mcp_tool_to_fn_schema(tool)}
            for tool in self._available_tools
        ]
    async def list_prompts(self) -> list[MCPPrompt]:
        """Get available prompts from the server."""
        if not self._client or not self._connected:
            msg = "Not connected to MCP server"
            raise RuntimeError(msg)
        try:
            return await self._client.list_prompts()
        except Exception as e:  # noqa: BLE001
            logger.debug("Failed to list prompts: %s", e)
            return []
    async def list_resources(self) -> list[MCPResource]:
        """Get available resources from the server."""
        if not self._client or not self._connected:
            msg = "Not connected to MCP server"
            raise RuntimeError(msg)
        try:
            return await self._client.list_resources()
        except Exception as e:
            msg = f"Failed to list resources: {e}"
            raise RuntimeError(msg) from e
    async def get_prompt(
        self, name: str, arguments: dict[str, str] | None = None
    ) -> mcp.types.GetPromptResult:
        """Get a specific prompt's content."""
        if not self._client or not self._connected:
            msg = "Not connected to MCP server"
            raise RuntimeError(msg)
        try:
            return await self._client.get_prompt_mcp(name, arguments)
        except Exception as e:
            msg = f"Failed to get prompt {name!r}: {e}"
            raise RuntimeError(msg) from e
    def convert_tool(self, tool: MCPTool) -> Tool:
        """Create a properly typed callable from MCP tool schema."""
        from llmling_agent import Tool
        schema = mcp_tool_to_fn_schema(tool)
        fn_schema = FunctionSchema.from_dict(schema)
        sig = fn_schema.to_python_signature()
        async def tool_callable(ctx: RunContext, **kwargs: Any) -> str | Any | ToolReturn:
            """Dynamically generated MCP tool wrapper."""
            # Filter out None values for optional params
            schema_props = tool.inputSchema.get("properties", {})
            required_props = set(tool.inputSchema.get("required", []))
            filtered_kwargs = {
                k: v
                for k, v in kwargs.items()
                if k in required_props or (k in schema_props and v is not None)
            }
            tc_id = ctx.tool_call_id if ctx else None
            return await self.call_tool(
                tool.name,
                filtered_kwargs,
                tool_call_id=tc_id,
                run_context=ctx,
            )
        # Set proper signature and annotations with RunContext support
        tool_callable.__signature__ = _create_tool_signature_with_context(sig)  # type: ignore
        annotations = _create_tool_annotations_with_context(fn_schema.get_annotations())
        # Update return annotation to support multiple types
        annotations["return"] = str | Any | ToolReturn
        tool_callable.__annotations__ = annotations
        tool_callable.__name__ = tool.name
        tool_callable.__doc__ = tool.description or "No description provided."
        meta = {"mcp_tool": tool.name}
        return Tool.from_callable(tool_callable, source="mcp", metadata=meta)
    def _create_final_progress_handler(
        self, tool_name: str, tool_call_id: str, tool_input: dict[str, Any]
    ) -> ProgressHandler:
        """Create a FastMCP-compatible progress handler with baked-in context."""
        async def fastmcp_progress_handler(
            progress: float, total: float | None, message: str | None
        ):
            await self._progress_handler(
                progress, total, message, tool_name, tool_call_id, tool_input
            )
        return fastmcp_progress_handler
    async def call_tool(
        self,
        name: str,
        arguments: dict | None = None,
        tool_call_id: str | None = None,
        run_context: RunContext | None = None,
    ) -> ToolReturn | str | Any:
        """Call an MCP tool with full PydanticAI return type support."""
        if not self._client or not self._connected:
            msg = "Not connected to MCP server"
            raise RuntimeError(msg)
        # Create progress handler if we have handler
        progress_handler = None
        if self._progress_handler:
            if run_context and run_context.tool_call_id and run_context.tool_name:
                # Extract tool args from message history
                tool_input = extract_tool_call_args(
                    run_context.messages, run_context.tool_call_id
                )
                progress_handler = self._create_final_progress_handler(
                    run_context.tool_name, run_context.tool_call_id, tool_input
                )
            else:
                # Fallback to using passed arguments (direct tool call)
                progress_handler = self._create_final_progress_handler(
                    name, tool_call_id or "", arguments or {}
                )
        try:
            result = await self._client.call_tool(
                name, arguments, progress_handler=progress_handler
            )
            content = await self._convert_mcp_content(result.content)
            # Decision logic for return type
            match (result.data is not None, bool(content)):
                case (True, True):  # Both structured data and rich content -> ToolReturn
                    return ToolReturn(return_value=result.data, content=content)
                case (True, False):  # Only structured data -> return directly
                    return result.data
                case (False, True):  # Only content -> ToolReturn with content
                    msg = "Tool executed successfully"
                    return ToolReturn(return_value=msg, content=content)
                case (False, False):  # Fallback to text extraction
                    return extract_text_content(result.content)
                case _:  # Handle unexpected cases
                    msg = f"Unexpected MCP content: {result.content}"
                    raise ValueError(msg)  # noqa: TRY301
        except Exception as e:
            msg = f"MCP tool call failed: {e}"
            raise RuntimeError(msg) from e
    async def _convert_mcp_content(self, mcp_content: list[Any]) -> list[str | Any]:
        """Convert MCP content blocks to PydanticAI content types."""
        from mcp.types import (
            AudioContent,
            BlobResourceContents,
            EmbeddedResource,
            ImageContent,
            ResourceLink,
            TextContent,
            TextResourceContents,
        )
        contents: list[Any] = []
        for block in mcp_content:
            match block:
                case TextContent(text=text):
                    contents.append(text)
                case TextResourceContents(text=text):
                    contents.append(text)
                case ImageContent(data=data, mimeType=mime_type):
                    decoded_data = base64.b64decode(data)
                    img = BinaryImage(data=decoded_data, media_type=mime_type)
                    contents.append(img)
                case AudioContent(data=data, mimeType=mime_type):
                    decoded_data = base64.b64decode(data)
                    content = BinaryContent(data=decoded_data, media_type=mime_type)
                    contents.append(content)
                case BlobResourceContents(blob=blob):
                    decoded_data = base64.b64decode(blob)
                    mime = "application/octet-stream"
                    content = BinaryContent(data=decoded_data, media_type=mime)
                    contents.append(content)
                case ResourceLink(uri=uri):
                    try:
                        assert self._client
                        res = await self._client.read_resource_mcp(uri)
                        if len(res.contents) == 1:
                            nested = await self._convert_mcp_content([res.contents[0]])
                            contents.extend(nested)
                        else:
                            nested = await self._convert_mcp_content(res.contents)
                            contents.extend(nested)
                    except Exception:  # noqa: BLE001
                        # Fallback to DocumentUrl if reading fails
                        contents.append(DocumentUrl(url=str(uri)))
                case EmbeddedResource(resource=TextResourceContents(text=text)):
                    contents.append(text)
                case EmbeddedResource(resource=BlobResourceContents() as blob_resource):
                    contents.append(f"[Binary data: {blob_resource.mimeType}]")
                case _:
                    contents.append(str(block))  # Convert anything else to string
        return contents
 |