From 408057c216983933d7cfe0552afad3fe46caed7b Mon Sep 17 00:00:00 2001 From: Charles Packer Date: Wed, 12 Mar 2025 17:33:24 -0700 Subject: [PATCH] feat: initial MCP support (#1229) Co-authored-by: Matt Zhou --- letta/agent.py | 36 +- letta/constants.py | 3 + letta/functions/helpers.py | 14 + letta/functions/schema_generator.py | 47 +++ letta/helpers/mcp_helpers.py | 108 ++++++ letta/llm_api/helpers.py | 3 +- letta/local_llm/utils.py | 50 +-- letta/orm/enums.py | 2 + letta/schemas/tool.py | 41 ++- letta/server/rest_api/app.py | 15 + letta/server/rest_api/routers/v1/tools.py | 72 +++- letta/server/server.py | 93 ++++- letta/services/tool_manager.py | 6 + poetry.lock | 398 ++++++++++++++-------- pyproject.toml | 1 + 15 files changed, 726 insertions(+), 163 deletions(-) create mode 100644 letta/helpers/mcp_helpers.py diff --git a/letta/agent.py b/letta/agent.py index 065dc717..8f15faf5 100644 --- a/letta/agent.py +++ b/letta/agent.py @@ -3,7 +3,7 @@ import time import traceback import warnings from abc import ABC, abstractmethod -from typing import Any, List, Optional, Tuple, Union +from typing import Any, Dict, List, Optional, Tuple, Union from openai.types.beta.function_tool import FunctionTool as OpenAITool @@ -26,6 +26,7 @@ from letta.helpers import ToolRulesSolver from letta.helpers.composio_helpers import get_composio_api_key from letta.helpers.datetime_helpers import get_utc_time from letta.helpers.json_helpers import json_dumps, json_loads +from letta.helpers.mcp_helpers import BaseMCPClient from letta.interface import AgentInterface from letta.llm_api.helpers import calculate_summarizer_cutoff, get_token_counts_for_messages, is_context_overflow_error from letta.llm_api.llm_api_tools import create @@ -92,6 +93,8 @@ class Agent(BaseAgent): user: User, # extras first_message_verify_mono: bool = True, # TODO move to config? + # MCP sessions, state held in-memory in the server + mcp_clients: Optional[Dict[str, BaseMCPClient]] = None, ): assert isinstance(agent_state.memory, Memory), f"Memory object is not of type Memory: {type(agent_state.memory)}" # Hold a copy of the state that was used to init the agent @@ -149,6 +152,9 @@ class Agent(BaseAgent): # Logger that the Agent specifically can use, will also report the agent_state ID with the logs self.logger = get_logger(agent_state.id) + # MCPClient, state/sessions managed by the server + self.mcp_clients = mcp_clients + def load_last_function_response(self): """Load the last function response from message history""" in_context_messages = self.agent_manager.get_in_context_messages(agent_id=self.agent_state.id, actor=self.user) @@ -198,6 +204,7 @@ class Agent(BaseAgent): return True return False + # TODO: Refactor into separate class v.s. large if/elses here def execute_tool_and_persist_state( self, function_name: str, function_args: dict, target_letta_tool: Tool ) -> tuple[Any, Optional[SandboxRunResult]]: @@ -238,6 +245,32 @@ class Agent(BaseAgent): function_response = execute_composio_action( action_name=action_name, args=function_args, api_key=composio_api_key, entity_id=entity_id ) + elif target_letta_tool.tool_type == ToolType.EXTERNAL_MCP: + # Get the server name from the tool tag + # TODO make a property instead? + server_name = target_letta_tool.tags[0].split(":")[1] + + # Get the MCPClient from the server's handle + # TODO these don't get raised properly + if not self.mcp_clients: + raise ValueError(f"No MCP client available to use") + if server_name not in self.mcp_clients: + raise ValueError(f"Unknown MCP server name: {server_name}") + mcp_client = self.mcp_clients[server_name] + if not isinstance(mcp_client, BaseMCPClient): + raise RuntimeError(f"Expected an MCPClient, but got: {type(mcp_client)}") + + # Check that tool exists + available_tools = mcp_client.list_tools() + available_tool_names = [t.name for t in available_tools] + if function_name not in available_tool_names: + raise ValueError( + f"{function_name} is not available in MCP server {server_name}. Please check your `~/.letta/mcp_config.json` file." + ) + + function_response, is_error = mcp_client.execute_tool(tool_name=function_name, tool_args=function_args) + sandbox_run_result = SandboxRunResult(status="error" if is_error else "success") + return function_response, sandbox_run_result else: try: # Parse the source code to extract function annotations @@ -268,6 +301,7 @@ class Agent(BaseAgent): function_response = get_friendly_error_msg( function_name=function_name, exception_name=type(e).__name__, exception_message=str(e) ) + return function_response, SandboxRunResult(status="error") return function_response, None diff --git a/letta/constants.py b/letta/constants.py index 7408d05d..57fb1319 100644 --- a/letta/constants.py +++ b/letta/constants.py @@ -11,6 +11,9 @@ OPENAI_API_PREFIX = "/openai" COMPOSIO_ENTITY_ENV_VAR_KEY = "COMPOSIO_ENTITY" COMPOSIO_TOOL_TAG_NAME = "composio" +MCP_CONFIG_NAME = "mcp_config.json" +MCP_TOOL_TAG_NAME_PREFIX = "mcp" # full format, mcp:server_name + LETTA_CORE_TOOL_MODULE_NAME = "letta.functions.function_sets.base" LETTA_MULTI_AGENT_TOOL_MODULE_NAME = "letta.functions.function_sets.multi_agent" diff --git a/letta/functions/helpers.py b/letta/functions/helpers.py index 19446e05..9f69280f 100644 --- a/letta/functions/helpers.py +++ b/letta/functions/helpers.py @@ -48,6 +48,20 @@ def generate_composio_action_from_func_name(func_name: str) -> str: return func_name.upper() +# TODO needed? +def generate_mcp_tool_wrapper(mcp_tool_name: str) -> tuple[str, str]: + + wrapper_function_str = f"""\ +def {mcp_tool_name}(**kwargs): + raise RuntimeError("Something went wrong - we should never be using the persisted source code for MCP. Please reach out to Letta team") +""" + + # Compile safety check + assert_code_gen_compilable(wrapper_function_str.strip()) + + return mcp_tool_name, wrapper_function_str.strip() + + def generate_composio_tool_wrapper(action_name: str) -> tuple[str, str]: # Generate func name func_name = generate_func_name_from_composio_action(action_name) diff --git a/letta/functions/schema_generator.py b/letta/functions/schema_generator.py index 5a2cb115..db4f704b 100644 --- a/letta/functions/schema_generator.py +++ b/letta/functions/schema_generator.py @@ -6,6 +6,8 @@ from composio.client.collections import ActionParametersModel from docstring_parser import parse from pydantic import BaseModel +from letta.helpers.mcp_helpers import MCPTool + def is_optional(annotation): # Check if the annotation is a Union @@ -433,6 +435,51 @@ def generate_schema_from_args_schema_v2( return function_call_json +def generate_tool_schema_for_mcp( + mcp_tool: MCPTool, + append_heartbeat: bool = True, + strict: bool = False, +) -> Dict[str, Any]: + + # MCP tool.inputSchema is a JSON schema + # https://github.com/modelcontextprotocol/python-sdk/blob/775f87981300660ee957b63c2a14b448ab9c3675/src/mcp/types.py#L678 + parameters_schema = mcp_tool.inputSchema + name = mcp_tool.name + description = mcp_tool.description + + assert "type" in parameters_schema + assert "required" in parameters_schema + assert "properties" in parameters_schema + + # Add the optional heartbeat parameter + if append_heartbeat: + parameters_schema["properties"]["request_heartbeat"] = { + "type": "boolean", + "description": "Request an immediate heartbeat after function execution. Set to `True` if you want to send a follow-up message or run a follow-up function.", + } + parameters_schema["required"].append("request_heartbeat") + + # Return the final schema + if strict: + # https://platform.openai.com/docs/guides/function-calling#strict-mode + + # Add additionalProperties: False + parameters_schema["additionalProperties"] = False + + return { + "strict": True, # NOTE + "name": name, + "description": description, + "parameters": parameters_schema, + } + else: + return { + "name": name, + "description": description, + "parameters": parameters_schema, + } + + def generate_tool_schema_for_composio( parameters_model: ActionParametersModel, name: str, diff --git a/letta/helpers/mcp_helpers.py b/letta/helpers/mcp_helpers.py new file mode 100644 index 00000000..1d8adf92 --- /dev/null +++ b/letta/helpers/mcp_helpers.py @@ -0,0 +1,108 @@ +import asyncio +from enum import Enum +from typing import List, Optional, Tuple + +from mcp import ClientSession, StdioServerParameters, Tool +from mcp.client.sse import sse_client +from mcp.client.stdio import stdio_client +from pydantic import BaseModel, Field + +from letta.log import get_logger + +logger = get_logger(__name__) + + +class MCPTool(Tool): + """A simple wrapper around MCP's tool definition (to avoid conflict with our own)""" + + +class MCPServerType(str, Enum): + SSE = "sse" + LOCAL = "local" + + +class BaseServerConfig(BaseModel): + server_name: str = Field(..., description="The name of the server") + type: MCPServerType + + +class SSEServerConfig(BaseServerConfig): + type: MCPServerType = MCPServerType.SSE + server_url: str = Field(..., description="The URL of the server (MCP SSE client will connect to this URL)") + + +class LocalServerConfig(BaseServerConfig): + type: MCPServerType = MCPServerType.LOCAL + command: str = Field(..., description="The command to run (MCP 'local' client will run this command)") + args: List[str] = Field(..., description="The arguments to pass to the command") + + +class BaseMCPClient: + def __init__(self): + self.session: Optional[ClientSession] = None + self.stdio = None + self.write = None + self.initialized = False + self.loop = asyncio.new_event_loop() + self.cleanup_funcs = [] + + def connect_to_server(self, server_config: BaseServerConfig): + asyncio.set_event_loop(self.loop) + self._initialize_connection(server_config) + self.loop.run_until_complete(self.session.initialize()) + self.initialized = True + + def _initialize_connection(self, server_config: BaseServerConfig): + raise NotImplementedError("Subclasses must implement _initialize_connection") + + def list_tools(self) -> List[Tool]: + self._check_initialized() + response = self.loop.run_until_complete(self.session.list_tools()) + return response.tools + + def execute_tool(self, tool_name: str, tool_args: dict) -> Tuple[str, bool]: + self._check_initialized() + result = self.loop.run_until_complete(self.session.call_tool(tool_name, tool_args)) + return str(result.content), result.isError + + def _check_initialized(self): + if not self.initialized: + logger.error("MCPClient has not been initialized") + raise RuntimeError("MCPClient has not been initialized") + + def cleanup(self): + try: + for cleanup_func in self.cleanup_funcs: + cleanup_func() + self.initialized = False + if not self.loop.is_closed(): + self.loop.close() + except Exception as e: + logger.warning(e) + finally: + logger.info("Cleaned up MCP clients on shutdown.") + + +class LocalMCPClient(BaseMCPClient): + def _initialize_connection(self, server_config: LocalServerConfig): + server_params = StdioServerParameters(command=server_config.command, args=server_config.args) + stdio_cm = stdio_client(server_params) + stdio_transport = self.loop.run_until_complete(stdio_cm.__aenter__()) + self.stdio, self.write = stdio_transport + self.cleanup_funcs.append(lambda: self.loop.run_until_complete(stdio_cm.__aexit__(None, None, None))) + + session_cm = ClientSession(self.stdio, self.write) + self.session = self.loop.run_until_complete(session_cm.__aenter__()) + self.cleanup_funcs.append(lambda: self.loop.run_until_complete(session_cm.__aexit__(None, None, None))) + + +class SSEMCPClient(BaseMCPClient): + def _initialize_connection(self, server_config: SSEServerConfig): + sse_cm = sse_client(url=server_config.server_url) + sse_transport = self.loop.run_until_complete(sse_cm.__aenter__()) + self.stdio, self.write = sse_transport + self.cleanup_funcs.append(lambda: self.loop.run_until_complete(sse_cm.__aexit__(None, None, None))) + + session_cm = ClientSession(self.stdio, self.write) + self.session = self.loop.run_until_complete(session_cm.__aenter__()) + self.cleanup_funcs.append(lambda: self.loop.run_until_complete(session_cm.__aexit__(None, None, None))) diff --git a/letta/llm_api/helpers.py b/letta/llm_api/helpers.py index a8d72ba1..6d6f77c1 100644 --- a/letta/llm_api/helpers.py +++ b/letta/llm_api/helpers.py @@ -86,9 +86,8 @@ def convert_to_structured_output(openai_function: dict, allow_optional: bool = F # but if "type" is "object" we expected "properties", where each property has details # and if "type" is "array" we expect "items": for param, details in openai_function["parameters"]["properties"].items(): - param_type = details["type"] - description = details["description"] + description = details.get("description", "") if param_type == "object": if "properties" not in details: diff --git a/letta/local_llm/utils.py b/letta/local_llm/utils.py index d082e5ab..c5c084ed 100644 --- a/letta/local_llm/utils.py +++ b/letta/local_llm/utils.py @@ -114,26 +114,36 @@ def num_tokens_from_functions(functions: List[dict], model: str = "gpt-4"): function_tokens += len(encoding.encode(propertiesKey)) v = parameters["properties"][propertiesKey] for field in v: - if field == "type": - function_tokens += 2 - function_tokens += len(encoding.encode(v["type"])) - elif field == "description": - function_tokens += 2 - function_tokens += len(encoding.encode(v["description"])) - elif field == "enum": - function_tokens -= 3 - for o in v["enum"]: - function_tokens += 3 - function_tokens += len(encoding.encode(o)) - elif field == "items": - function_tokens += 2 - if isinstance(v["items"], dict) and "type" in v["items"]: - function_tokens += len(encoding.encode(v["items"]["type"])) - elif field == "default": - function_tokens += 2 - function_tokens += len(encoding.encode(str(v["default"]))) - else: - logger.warning(f"num_tokens_from_functions: Unsupported field {field} in function {function}") + try: + if field == "type": + function_tokens += 2 + function_tokens += len(encoding.encode(v["type"])) + elif field == "description": + function_tokens += 2 + function_tokens += len(encoding.encode(v["description"])) + elif field == "enum": + function_tokens -= 3 + for o in v["enum"]: + function_tokens += 3 + function_tokens += len(encoding.encode(o)) + elif field == "items": + function_tokens += 2 + if isinstance(v["items"], dict) and "type" in v["items"]: + function_tokens += len(encoding.encode(v["items"]["type"])) + elif field == "default": + function_tokens += 2 + function_tokens += len(encoding.encode(str(v["default"]))) + elif field == "title": + # TODO: Is this right? For MCP + continue + else: + # TODO: Handle nesting here properly + # Disable this for now for MCP + continue + # logger.warning(f"num_tokens_from_functions: Unsupported field {field} in function {function}") + except: + logger.error(f"Failed to encode field {field} with value {v}") + raise function_tokens += 11 num_tokens += function_tokens diff --git a/letta/orm/enums.py b/letta/orm/enums.py index d3aac7ab..9f014162 100644 --- a/letta/orm/enums.py +++ b/letta/orm/enums.py @@ -8,6 +8,8 @@ class ToolType(str, Enum): LETTA_MULTI_AGENT_CORE = "letta_multi_agent_core" EXTERNAL_COMPOSIO = "external_composio" EXTERNAL_LANGCHAIN = "external_langchain" + # TODO is "external" the right name here? Since as of now, MCP is local / doesn't support remote? + EXTERNAL_MCP = "external_mcp" class JobType(str, Enum): diff --git a/letta/schemas/tool.py b/letta/schemas/tool.py index 14b6dba8..b2499a6f 100644 --- a/letta/schemas/tool.py +++ b/letta/schemas/tool.py @@ -7,11 +7,22 @@ from letta.constants import ( FUNCTION_RETURN_CHAR_LIMIT, LETTA_CORE_TOOL_MODULE_NAME, LETTA_MULTI_AGENT_TOOL_MODULE_NAME, + MCP_TOOL_TAG_NAME_PREFIX, ) from letta.functions.ast_parsers import get_function_name_and_description from letta.functions.functions import derive_openai_json_schema, get_json_schema_from_module -from letta.functions.helpers import generate_composio_tool_wrapper, generate_langchain_tool_wrapper, generate_model_from_args_json_schema -from letta.functions.schema_generator import generate_schema_from_args_schema_v2, generate_tool_schema_for_composio +from letta.functions.helpers import ( + generate_composio_tool_wrapper, + generate_langchain_tool_wrapper, + generate_mcp_tool_wrapper, + generate_model_from_args_json_schema, +) +from letta.functions.schema_generator import ( + generate_schema_from_args_schema_v2, + generate_tool_schema_for_composio, + generate_tool_schema_for_mcp, +) +from letta.helpers.mcp_helpers import MCPTool from letta.log import get_logger from letta.orm.enums import ToolType from letta.schemas.letta_base import LettaBase @@ -121,6 +132,32 @@ class ToolCreate(LettaBase): args_json_schema: Optional[Dict] = Field(None, description="The args JSON schema of the function.") return_char_limit: int = Field(FUNCTION_RETURN_CHAR_LIMIT, description="The maximum number of characters in the response.") + # TODO should we put the HTTP / API fetch inside from_mcp? + # async def from_mcp(cls, mcp_server: str, mcp_tool_name: str) -> "ToolCreate": + + @classmethod + def from_mcp(cls, mcp_server_name: str, mcp_tool: MCPTool) -> "ToolCreate": + + # Get the MCP tool from the MCP server + # NVM + + # Pass the MCP tool to the schema generator + json_schema = generate_tool_schema_for_mcp(mcp_tool=mcp_tool) + + # Return a ToolCreate instance + description = mcp_tool.description + source_type = "python" + tags = [f"{MCP_TOOL_TAG_NAME_PREFIX}:{mcp_server_name}"] + wrapper_func_name, wrapper_function_str = generate_mcp_tool_wrapper(mcp_tool.name) + + return cls( + description=description, + source_type=source_type, + tags=tags, + source_code=wrapper_function_str, + json_schema=json_schema, + ) + @classmethod def from_composio(cls, action_name: str) -> "ToolCreate": """ diff --git a/letta/server/rest_api/app.py b/letta/server/rest_api/app.py index 246711bc..124eecf4 100644 --- a/letta/server/rest_api/app.py +++ b/letta/server/rest_api/app.py @@ -136,6 +136,21 @@ def create_application() -> "FastAPI": debug=debug_mode, # if True, the stack trace will be printed in the response ) + @app.on_event("shutdown") + def shutdown_mcp_clients(): + global server + import threading + + def cleanup_clients(): + if hasattr(server, "mcp_clients"): + for client in server.mcp_clients.values(): + client.cleanup() + server.mcp_clients.clear() + + t = threading.Thread(target=cleanup_clients) + t.start() + t.join() + @app.exception_handler(Exception) async def generic_error_handler(request: Request, exc: Exception): # Log the actual error for debugging diff --git a/letta/server/rest_api/routers/v1/tools.py b/letta/server/rest_api/routers/v1/tools.py index 5a5de213..c7c5800e 100644 --- a/letta/server/rest_api/routers/v1/tools.py +++ b/letta/server/rest_api/routers/v1/tools.py @@ -1,4 +1,4 @@ -from typing import List, Optional +from typing import List, Optional, Union from composio.client import ComposioClientError, HTTPError, NoItemsFound from composio.client.collections import ActionModel, AppModel @@ -13,6 +13,7 @@ from fastapi import APIRouter, Body, Depends, Header, HTTPException from letta.errors import LettaToolCreateError from letta.helpers.composio_helpers import get_composio_api_key +from letta.helpers.mcp_helpers import LocalServerConfig, MCPTool, SSEServerConfig from letta.log import get_logger from letta.orm.errors import UniqueConstraintViolationError from letta.schemas.letta_message import ToolReturnMessage @@ -329,3 +330,72 @@ def add_composio_tool( "composio_action_name": composio_action_name, }, ) + + +# Specific routes for MCP +@router.get("/mcp/servers", response_model=dict[str, Union[SSEServerConfig, LocalServerConfig]], operation_id="list_mcp_servers") +def list_mcp_servers(server: SyncServer = Depends(get_letta_server), user_id: Optional[str] = Header(None, alias="user_id")): + """ + Get a list of all configured MCP servers + """ + actor = server.user_manager.get_user_or_default(user_id=user_id) + return server.get_mcp_servers() + + +# NOTE: async because the MCP client/session calls are async +# TODO: should we make the return type MCPTool, not Tool (since we don't have ID)? +@router.get("/mcp/servers/{mcp_server_name}/tools", response_model=List[MCPTool], operation_id="list_mcp_tools_by_server") +def list_mcp_tools_by_server( + mcp_server_name: str, + server: SyncServer = Depends(get_letta_server), + actor_id: Optional[str] = Header(None, alias="user_id"), +): + """ + Get a list of all tools for a specific MCP server + """ + actor = server.user_manager.get_user_or_default(user_id=actor_id) + try: + return server.get_tools_from_mcp_server(mcp_server_name=mcp_server_name) + except ValueError as e: + # ValueError means that the MCP server name doesn't exist + raise HTTPException( + status_code=400, # Bad Request + detail={ + "code": "MCPServerNotFoundError", + "message": str(e), + "mcp_server_name": mcp_server_name, + }, + ) + + +@router.post("/mcp/servers/{mcp_server_name}/{mcp_tool_name}", response_model=Tool, operation_id="add_mcp_tool") +def add_mcp_tool( + mcp_server_name: str, + mcp_tool_name: str, + server: SyncServer = Depends(get_letta_server), + actor_id: Optional[str] = Header(None, alias="user_id"), +): + """ + Add a new MCP tool by server + tool name + """ + actor = server.user_manager.get_user_or_default(user_id=actor_id) + + available_tools = server.get_tools_from_mcp_server(mcp_server_name=mcp_server_name) + # See if the tool is in the avaialable list + mcp_tool = None + for tool in available_tools: + if tool.name == mcp_tool_name: + mcp_tool = tool + break + if not mcp_tool: + raise HTTPException( + status_code=400, # Bad Request + detail={ + "code": "MCPToolNotFoundError", + "message": f"Tool {mcp_tool_name} not found in MCP server {mcp_server_name} - available tools: {', '.join([tool.name for tool in available_tools])}", + "mcp_tool_name": mcp_tool_name, + }, + ) + + tool_create = ToolCreate.from_mcp(mcp_server_name=mcp_server_name, mcp_tool=mcp_tool) + return server.tool_manager.create_or_update_mcp_tool(tool_create=tool_create, actor=actor) diff --git a/letta/server/server.py b/letta/server/server.py index 6dfa5057..2b04dca5 100644 --- a/letta/server/server.py +++ b/letta/server/server.py @@ -21,6 +21,15 @@ from letta.config import LettaConfig from letta.data_sources.connectors import DataConnector, load_data from letta.helpers.datetime_helpers import get_utc_time from letta.helpers.json_helpers import json_dumps, json_loads +from letta.helpers.mcp_helpers import ( + BaseMCPClient, + LocalMCPClient, + LocalServerConfig, + MCPServerType, + MCPTool, + SSEMCPClient, + SSEServerConfig, +) # TODO use custom interface from letta.interface import AgentInterface # abstract @@ -314,6 +323,26 @@ class SyncServer(Server): if model_settings.xai_api_key: self._enabled_providers.append(xAIProvider(api_key=model_settings.xai_api_key)) + # For MCP + """Initialize the MCP clients (there may be multiple)""" + mcp_server_configs = self.get_mcp_servers() + self.mcp_clients: Dict[str, BaseMCPClient] = {} + + for server_name, server_config in mcp_server_configs.items(): + if server_config.type == MCPServerType.SSE: + self.mcp_clients[server_name] = SSEMCPClient() + elif server_config.type == MCPServerType.LOCAL: + self.mcp_clients[server_name] = LocalMCPClient() + else: + raise ValueError(f"Invalid MCP server config: {server_config}") + self.mcp_clients[server_name].connect_to_server(server_config) + + # Print out the tools that are connected + for server_name, client in self.mcp_clients.items(): + logger.debug(f"Attempting to fetch tools from MCP server: {server_name}") + mcp_tools = client.list_tools() + logger.debug(f"MCP tools connected:", mcp_tools) + def load_agent(self, agent_id: str, actor: User, interface: Union[AgentInterface, None] = None) -> Agent: """Updated method to load agents from persisted storage""" agent_lock = self.per_agent_lock_manager.get_lock(agent_id) @@ -322,7 +351,7 @@ class SyncServer(Server): interface = interface or self.default_interface_factory() if agent_state.agent_type == AgentType.memgpt_agent: - agent = Agent(agent_state=agent_state, interface=interface, user=actor) + agent = Agent(agent_state=agent_state, interface=interface, user=actor, mcp_clients=self.mcp_clients) elif agent_state.agent_type == AgentType.offline_memory_agent: agent = OfflineMemoryAgent(agent_state=agent_state, interface=interface, user=actor) else: @@ -1173,6 +1202,68 @@ class SyncServer(Server): actions = self.get_composio_client(api_key=api_key).actions.get(apps=[composio_app_name]) return actions + # MCP wrappers + # TODO support both command + SSE servers (via config) + def get_mcp_servers(self) -> dict[str, Union[SSEServerConfig, LocalServerConfig]]: + """List the MCP servers in the config (doesn't test that they are actually working)""" + mcp_server_list = {} + + # Attempt to read from ~/.letta/mcp_config.json + mcp_config_path = os.path.join(constants.LETTA_DIR, constants.MCP_CONFIG_NAME) + if os.path.exists(mcp_config_path): + with open(mcp_config_path, "r") as f: + + try: + mcp_config = json.load(f) + except Exception as e: + logger.error(f"Failed to parse MCP config file ({mcp_config_path}) as json: {e}") + return mcp_server_list + + # Proper formatting is "mcpServers" key at the top level, + # then a dict with the MCP server name as the key, + # with the value being the schema from StdioServerParameters + if "mcpServers" in mcp_config: + for server_name, server_params_raw in mcp_config["mcpServers"].items(): + + # No support for duplicate server names + if server_name in mcp_server_list: + logger.error(f"Duplicate MCP server name found (skipping): {server_name}") + continue + + if "url" in server_params_raw: + # Attempt to parse the server params as an SSE server + try: + server_params = SSEServerConfig( + server_name=server_name, + server_url=server_params_raw["url"], + ) + mcp_server_list[server_name] = server_params + except Exception as e: + logger.error(f"Failed to parse server params for MCP server {server_name} (skipping): {e}") + continue + else: + # Attempt to parse the server params as a StdioServerParameters + try: + server_params = LocalServerConfig( + server_name=server_name, + command=server_params_raw["command"], + args=server_params_raw.get("args", []), + ) + mcp_server_list[server_name] = server_params + except Exception as e: + logger.error(f"Failed to parse server params for MCP server {server_name} (skipping): {e}") + continue + + # If the file doesn't exist, return empty dictionary + return mcp_server_list + + def get_tools_from_mcp_server(self, mcp_server_name: str) -> List[MCPTool]: + """List the tools in an MCP server. Requires a client to be created.""" + if mcp_server_name not in self.mcp_clients: + raise ValueError(f"No client was created for MCP server: {mcp_server_name}") + + return self.mcp_clients[mcp_server_name].list_tools() + @trace_method async def send_message_to_agent( self, diff --git a/letta/services/tool_manager.py b/letta/services/tool_manager.py index 7a726424..e5eb1d2f 100644 --- a/letta/services/tool_manager.py +++ b/letta/services/tool_manager.py @@ -56,6 +56,12 @@ class ToolManager: return tool + @enforce_types + def create_or_update_mcp_tool(self, tool_create: ToolCreate, actor: PydanticUser) -> PydanticTool: + return self.create_or_update_tool( + PydanticTool(tool_type=ToolType.EXTERNAL_MCP, name=tool_create.json_schema["name"], **tool_create.model_dump()), actor + ) + @enforce_types def create_or_update_composio_tool(self, tool_create: ToolCreate, actor: PydanticUser) -> PydanticTool: return self.create_or_update_tool( diff --git a/poetry.lock b/poetry.lock index b84674d8..ceae08b9 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,14 +1,14 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. 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