feat: initial MCP support (#1229)

Co-authored-by: Matt Zhou <mattzh1314@gmail.com>

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
 

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"
 

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)

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,

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)))

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": <type>
     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:

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":
+                        try:
-                            function_tokens += 2
+                            if field == "type":
-                            function_tokens += len(encoding.encode(v["type"]))
+                                function_tokens += 2
-                        elif field == "description":
+                                function_tokens += len(encoding.encode(v["type"]))
-                            function_tokens += 2
+                            elif field == "description":
-                            function_tokens += len(encoding.encode(v["description"]))
+                                function_tokens += 2
-                        elif field == "enum":
+                                function_tokens += len(encoding.encode(v["description"]))
-                            function_tokens -= 3
+                            elif field == "enum":
-                            for o in v["enum"]:
+                                function_tokens -= 3
-                                function_tokens += 3
+                                for o in v["enum"]:
-                                function_tokens += len(encoding.encode(o))
+                                    function_tokens += 3
-                        elif field == "items":
+                                    function_tokens += len(encoding.encode(o))
-                            function_tokens += 2
+                            elif field == "items":
-                            if isinstance(v["items"], dict) and "type" in v["items"]:
+                                function_tokens += 2
-                                function_tokens += len(encoding.encode(v["items"]["type"]))
+                                if isinstance(v["items"], dict) and "type" in v["items"]:
-                        elif field == "default":
+                                    function_tokens += len(encoding.encode(v["items"]["type"]))
-                            function_tokens += 2
+                            elif field == "default":
-                            function_tokens += len(encoding.encode(str(v["default"])))
+                                function_tokens += 2
-                        else:
+                                function_tokens += len(encoding.encode(str(v["default"])))
-                            logger.warning(f"num_tokens_from_functions: Unsupported field {field} in function {function}")
+                            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

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):

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.helpers import (
-from letta.functions.schema_generator import generate_schema_from_args_schema_v2, generate_tool_schema_for_composio
+    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":
         """

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

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)

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,

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(

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.
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.5.0"
+version = "2.6.1"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "aiohappyeyeballs-2.5.0-py3-none-any.whl", hash = "sha256:0850b580748c7071db98bffff6d4c94028d0d3035acc20fd721a0ce7e8cac35d"},
+    {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"},
-    {file = "aiohappyeyeballs-2.5.0.tar.gz", hash = "sha256:18fde6204a76deeabc97c48bdd01d5801cfda5d6b9c8bbeb1aaaee9d648ca191"},
+    {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
 ]
 
 [[package]]
@@ -268,20 +268,20 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "25.1.0"
+version = "25.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "attrs-25.1.0-py3-none-any.whl", hash = "sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a"},
+    {file = "attrs-25.2.0-py3-none-any.whl", hash = "sha256:611344ff0a5fed735d86d7784610c84f8126b95e549bcad9ff61b4242f2d386b"},
-    {file = "attrs-25.1.0.tar.gz", hash = "sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e"},
+    {file = "attrs-25.2.0.tar.gz", hash = "sha256:18a06db706db43ac232cce80443fcd9f2500702059ecf53489e3c5a3f417acaf"},
 ]
 
 [package.extras]
 benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
 tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
@@ -447,17 +447,17 @@ files = [
 
 [[package]]
 name = "boto3"
-version = "1.37.10"
+version = "1.37.11"
 description = "The AWS SDK for Python"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.37.10-py3-none-any.whl", hash = "sha256:fc649fb4c9521f60660fd562d6bf2034753832968b0c93ec60ad30634afb1b0f"},
+    {file = "boto3-1.37.11-py3-none-any.whl", hash = "sha256:da6c22fc8a7e9bca5d7fc465a877ac3d45b6b086d776bd1a6c55bdde60523741"},
-    {file = "boto3-1.37.10.tar.gz", hash = "sha256:0c6eb8191b1ea4c7a139e56425399405d46e86c7e814ef497176b9af1f7ca056"},
+    {file = "boto3-1.37.11.tar.gz", hash = "sha256:8eec08363ef5db05c2fbf58e89f0c0de6276cda2fdce01e76b3b5f423cd5c0f4"},
 ]
 
 [package.dependencies]
-botocore = ">=1.37.10,<1.38.0"
+botocore = ">=1.37.11,<1.38.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.11.0,<0.12.0"
 
@@ -466,13 +466,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.37.10"
+version = "1.37.11"
 description = "Low-level, data-driven core of boto 3."
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.37.10-py3-none-any.whl", hash = "sha256:7515c8dfaaf5ba02604db9cf73c172615afee976136f31d8aec628629f24029f"},
+    {file = "botocore-1.37.11-py3-none-any.whl", hash = "sha256:02505309b1235f9f15a6da79103ca224b3f3dc5f6a62f8630fbb2c6ed05e2da8"},
-    {file = "botocore-1.37.10.tar.gz", hash = "sha256:ab311982a9872eeb4e71906d3e3fcd2ba331a869d0fed16836ade7ce2e58bcea"},
+    {file = "botocore-1.37.11.tar.gz", hash = "sha256:72eb3a9a58b064be26ba154e5e56373633b58f951941c340ace0d379590d98b5"},
 ]
 
 [package.dependencies]
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+    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:5dab0844f2cf82be357a0eb11a9087f70c5430b2c241493fc122bb6f2bb0917c"},
+    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e4fe605b917c70283db7dfe5ada75e04561479075761a0b3866c081d035b01c1"},
+    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:1e9a65b5736232e7a7f91ff3d02277f11d339bf34099a56cdab6a8b3410a02b2"},
+    {file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:58d4b711689366d4a03ac7957ab8c28890415e267f9b6589969e74b6e42225ec"},
     {file = "Brotli-1.1.0-cp310-cp310-win32.whl", hash = "sha256:be36e3d172dc816333f33520154d708a2657ea63762ec16b62ece02ab5e4daf2"},
     {file = "Brotli-1.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:0c6244521dda65ea562d5a69b9a26120769b7a9fb3db2fe9545935ed6735b128"},
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@@ -512,8 +516,14 @@ files = [
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     {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:510b5b1bfbe20e1a7b3baf5fed9e9451873559a976c1a78eebaa3b86c57b4265"},
     {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a1fd8a29719ccce974d523580987b7f8229aeace506952fa9ce1d53a033873c8"},
+    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c247dd99d39e0338a604f8c2b3bc7061d5c2e9e2ac7ba9cc1be5a69cb6cd832f"},
+    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1b2c248cd517c222d89e74669a4adfa5577e06ab68771a529060cf5a156e9757"},
+    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:2a24c50840d89ded6c9a8fdc7b6ed3692ed4e86f1c4a4a938e1e92def92933e0"},
+    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f31859074d57b4639318523d6ffdca586ace54271a73ad23ad021acd807eb14b"},
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     {file = "Brotli-1.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:aac0411d20e345dc0920bdec5548e438e999ff68d77564d5e9463a7ca9d3e7b1"},
+    {file = "Brotli-1.1.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:32d95b80260d79926f5fab3c41701dbb818fde1c9da590e77e571eefd14abe28"},
+    {file = "Brotli-1.1.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b760c65308ff1e462f65d69c12e4ae085cff3b332d894637f6273a12a482d09f"},
     {file = "Brotli-1.1.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:316cc9b17edf613ac76b1f1f305d2a748f1b976b033b049a6ecdfd5612c70409"},
     {file = "Brotli-1.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:caf9ee9a5775f3111642d33b86237b05808dafcd6268faa492250e9b78046eb2"},
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@@ -524,8 +534,24 @@ files = [
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+    {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:87a3044c3a35055527ac75e419dfa9f4f3667a1e887ee80360589eb8c90aabb9"},
+    {file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:c5529b34c1c9d937168297f2c1fde7ebe9ebdd5e121297ff9c043bdb2ae3d6fb"},
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+    {file = "Brotli-1.1.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:8bf32b98b75c13ec7cf774164172683d6e7891088f6316e54425fde1efc276d5"},
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 ]
 
@@ -5889,6 +5996,25 @@ files = [
 pydantic = ">=1.10.13,<3.0.0"
 SQLAlchemy = ">=2.0.0,<2.1.0"
 
+[[package]]
+name = "sse-starlette"
+version = "2.2.1"
+description = "SSE plugin for Starlette"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "sse_starlette-2.2.1-py3-none-any.whl", hash = "sha256:6410a3d3ba0c89e7675d4c273a301d64649c03a5ef1ca101f10b47f895fd0e99"},
+    {file = "sse_starlette-2.2.1.tar.gz", hash = "sha256:54470d5f19274aeed6b2d473430b08b4b379ea851d953b11d7f1c4a2c118b419"},
+]
+
+[package.dependencies]
+anyio = ">=4.7.0"
+starlette = ">=0.41.3"
+
+[package.extras]
+examples = ["fastapi"]
+uvicorn = ["uvicorn (>=0.34.0)"]
+
 [[package]]
 name = "stack-data"
 version = "0.6.3"
@@ -6919,4 +7045,4 @@ tests = ["wikipedia"]
 [metadata]
 lock-version = "2.0"
 python-versions = "<3.14,>=3.10"
-content-hash = "035bcd8608846fc1a9956d8fc204914d6a20280c20dbf0c6ec4680767c7b8c97"
+content-hash = "2c10d39381e42fefcd0e9e5a31faa506a667973da96ebd0b53ebef02efbebdea"

pyproject.toml

@@ -88,6 +88,7 @@ colorama = "^0.4.6"
 marshmallow-sqlalchemy = "^1.4.1"
 boto3 = {version = "^1.36.24", optional = true}
 datamodel-code-generator = {extras = ["http"], version = "^0.25.0"}
+mcp = "^1.3.0"
 
 
 [tool.poetry.extras]