feat: add MCP (Model Context Protocol) support

Add comprehensive MCP integration using langchain-mcp-adapters to enable
pluggable external tools from MCP servers.

Features:
- MCP server configuration via mcp_config.json
- Automatic lazy initialization for seamless use in both FastAPI and LangGraph Studio
- Support for multiple MCP servers (filesystem, postgres, github, brave-search, etc.)
- Environment variable resolution in configuration
- Tool caching mechanism for optimal performance
- Complete documentation and setup guide

Implementation:
- Add src/mcp module with client, tools, and cache components
- Integrate MCP config loading in AppConfig
- Update tool system to include MCP tools automatically
- Add eager initialization in FastAPI lifespan handler
- Add lazy initialization fallback for LangGraph Studio

Dependencies:
- Add langchain-mcp-adapters>=0.1.0

Documentation:
- Add MCP_SETUP.md with comprehensive setup guide
- Update CLAUDE.md with MCP system architecture
- Update config.example.yaml with MCP configuration notes
- Update README.md with MCP setup instructions

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

backend/CLAUDE.md

@@ -65,6 +65,27 @@ Config values starting with `$` are resolved as environment variables (e.g., `$O
 - Tools defined in config with `use` path (e.g., `src.sandbox.tools:bash_tool`)
 - `get_available_tools()` resolves tool paths via reflection
 - Community tools in `src/community/`: Jina AI (web fetch), Tavily (web search)
+- Supports MCP (Model Context Protocol) for pluggable external tools
+
+**MCP System** (`src/mcp/`)
+- Integrates with MCP servers to provide pluggable external tools using `langchain-mcp-adapters`
+- Configuration in `mcp_config.json` in project root (separate from `config.yaml`)
+- Uses `MultiServerMCPClient` from langchain-mcp-adapters for multi-server management
+- **Automatic initialization**: Tools are loaded on first use with lazy initialization
+- Supports both eager loading (FastAPI startup) and lazy loading (LangGraph Studio)
+- `initialize_mcp_tools()` can be called in FastAPI lifespan handler for eager loading
+- `get_cached_mcp_tools()` automatically initializes tools if not already loaded
+- Works seamlessly in both FastAPI server and LangGraph Studio environments
+- Each server can be enabled/disabled independently via `enabled` flag
+- Supports environment variable resolution (e.g., `$GITHUB_TOKEN`)
+- Configuration priority:
+  1. Explicit `config_path` argument
+  2. `DEER_FLOW_MCP_CONFIG_PATH` environment variable
+  3. `mcp_config.json` in current directory (backend/)
+  4. `mcp_config.json` in parent directory (project root - **recommended location**)
+- Popular MCP servers: filesystem, postgres, github, brave-search, puppeteer
+- See `mcp_config.example.json` for configuration examples
+- Built on top of langchain-ai/langchain-mcp-adapters for seamless integration
 
 **Reflection System** (`src/reflection/`)
 - `resolve_variable()` imports module and returns variable (e.g., `module:variable`)
@@ -103,6 +124,14 @@ Models, tools, sandbox providers, skills, and middleware settings are configured
 - `title`: Automatic thread title generation configuration
 - `summarization`: Automatic conversation summarization configuration
 
+MCP servers are configured separately in `mcp_config.json`:
+- `mcpServers`: Map of server name to configuration
+  - `enabled`: Whether the server is enabled (boolean)
+  - `command`: Command to execute to start the server (e.g., "npx", "python")
+  - `args`: Arguments to pass to the command (array)
+  - `env`: Environment variables (object with `$VAR` support)
+  - `description`: Human-readable description
+
 ## Code Style
 
 - Uses `ruff` for linting and formatting

backend/debug.py

@@ -26,6 +26,14 @@ load_dotenv()
 
 
 async def main():
+    # Initialize MCP tools at startup
+    try:
+        from src.mcp import initialize_mcp_tools
+
+        await initialize_mcp_tools()
+    except Exception as e:
+        print(f"Warning: Failed to initialize MCP tools: {e}")
+
     # Create agent with default config
     config = {
         "configurable": {

backend/pyproject.toml

@@ -11,6 +11,7 @@ dependencies = [
     "httpx>=0.28.0",
     "langchain>=1.2.3",
     "langchain-deepseek>=1.0.1",
+    "langchain-mcp-adapters>=0.1.0",
     "langchain-openai>=1.1.7",
     "langgraph>=1.0.6",
     "langgraph-cli[inmem]>=0.4.11",

backend/src/agents/middlewares/clarification_middleware.py

@@ -41,7 +41,7 @@ class ClarificationMiddleware(AgentMiddleware[ClarificationMiddlewareState]):
         Returns:
             True if text contains Chinese characters
         """
-        return any('\u4e00' <= char <= '\u9fff' for char in text)
+        return any("\u4e00" <= char <= "\u9fff" for char in text)
 
     def _format_clarification_message(self, args: dict) -> str:
         """Format the clarification arguments into a user-friendly message.

backend/src/config/__init__.py

@@ -1,4 +1,5 @@
 from .app_config import get_app_config
+from .mcp_config import McpConfig, get_mcp_config
 from .skills_config import SkillsConfig
 
-__all__ = ["get_app_config", "SkillsConfig"]
+__all__ = ["get_app_config", "SkillsConfig", "McpConfig", "get_mcp_config"]

backend/src/config/app_config.py

@@ -6,6 +6,7 @@ import yaml
 from dotenv import load_dotenv
 from pydantic import BaseModel, ConfigDict, Field
 
+from src.config.mcp_config import McpConfig
 from src.config.model_config import ModelConfig
 from src.config.sandbox_config import SandboxConfig
 from src.config.skills_config import SkillsConfig
@@ -24,6 +25,7 @@ class AppConfig(BaseModel):
     tools: list[ToolConfig] = Field(default_factory=list, description="Available tools")
     tool_groups: list[ToolGroupConfig] = Field(default_factory=list, description="Available tool groups")
     skills: SkillsConfig = Field(default_factory=SkillsConfig, description="Skills configuration")
+    mcp: McpConfig = Field(default_factory=McpConfig, description="MCP configuration")
     model_config = ConfigDict(extra="allow", frozen=False)
 
     @classmethod
@@ -80,6 +82,10 @@ class AppConfig(BaseModel):
         if "summarization" in config_data:
             load_summarization_config_from_dict(config_data["summarization"])
 
+        # Load MCP config separately (it's in a different file)
+        mcp_config = McpConfig.from_file()
+        config_data["mcp"] = mcp_config.model_dump()
+
         result = cls.model_validate(config_data)
         return result
 

backend/src/config/mcp_config.py

@@ -0,0 +1,186 @@
+"""MCP (Model Context Protocol) configuration."""
+
+import json
+import os
+from pathlib import Path
+from typing import Any
+
+from pydantic import BaseModel, ConfigDict, Field
+
+
+class McpServerConfig(BaseModel):
+    """Configuration for a single MCP server."""
+
+    enabled: bool = Field(default=True, description="Whether this MCP server is enabled")
+    command: str = Field(..., description="Command to execute to start the MCP server")
+    args: list[str] = Field(default_factory=list, description="Arguments to pass to the command")
+    env: dict[str, str] = Field(default_factory=dict, description="Environment variables for the MCP server")
+    description: str = Field(default="", description="Human-readable description of what this MCP server provides")
+    model_config = ConfigDict(extra="allow")
+
+
+class McpConfig(BaseModel):
+    """Configuration for all MCP servers."""
+
+    mcp_servers: dict[str, McpServerConfig] = Field(
+        default_factory=dict,
+        description="Map of MCP server name to configuration",
+        alias="mcpServers",
+    )
+    model_config = ConfigDict(extra="allow", populate_by_name=True)
+
+    @classmethod
+    def resolve_config_path(cls, config_path: str | None = None) -> Path | None:
+        """Resolve the MCP config file path.
+
+        Priority:
+        1. If provided `config_path` argument, use it.
+        2. If provided `DEER_FLOW_MCP_CONFIG_PATH` environment variable, use it.
+        3. Otherwise, check for `mcp_config.json` in the current directory, then in the parent directory.
+        4. If not found, return None (MCP is optional).
+
+        Args:
+            config_path: Optional path to MCP config file.
+
+        Returns:
+            Path to the MCP config file if found, otherwise None.
+        """
+        if config_path:
+            path = Path(config_path)
+            if not path.exists():
+                raise FileNotFoundError(f"MCP config file specified by param `config_path` not found at {path}")
+            return path
+        elif os.getenv("DEER_FLOW_MCP_CONFIG_PATH"):
+            path = Path(os.getenv("DEER_FLOW_MCP_CONFIG_PATH"))
+            if not path.exists():
+                raise FileNotFoundError(f"MCP config file specified by environment variable `DEER_FLOW_MCP_CONFIG_PATH` not found at {path}")
+            return path
+        else:
+            # Check if the mcp_config.json is in the current directory
+            path = Path(os.getcwd()) / "mcp_config.json"
+            if path.exists():
+                return path
+
+            # Check if the mcp_config.json is in the parent directory of CWD
+            path = Path(os.getcwd()).parent / "mcp_config.json"
+            if path.exists():
+                return path
+
+            # MCP is optional, so return None if not found
+            return None
+
+    @classmethod
+    def from_file(cls, config_path: str | None = None) -> "McpConfig":
+        """Load MCP config from JSON file.
+
+        See `resolve_config_path` for more details.
+
+        Args:
+            config_path: Path to the MCP config file.
+
+        Returns:
+            McpConfig: The loaded config, or empty config if file not found.
+        """
+        resolved_path = cls.resolve_config_path(config_path)
+        if resolved_path is None:
+            # Return empty config if MCP config file is not found
+            return cls(mcp_servers={})
+
+        with open(resolved_path) as f:
+            config_data = json.load(f)
+
+        cls.resolve_env_variables(config_data)
+        return cls.model_validate(config_data)
+
+    @classmethod
+    def resolve_env_variables(cls, config: dict[str, Any]) -> dict[str, Any]:
+        """Recursively resolve environment variables in the config.
+
+        Environment variables are resolved using the `os.getenv` function. Example: $OPENAI_API_KEY
+
+        Args:
+            config: The config to resolve environment variables in.
+
+        Returns:
+            The config with environment variables resolved.
+        """
+        for key, value in config.items():
+            if isinstance(value, str):
+                if value.startswith("$"):
+                    env_value = os.getenv(value[1:], None)
+                    if env_value is not None:
+                        config[key] = env_value
+                else:
+                    config[key] = value
+            elif isinstance(value, dict):
+                config[key] = cls.resolve_env_variables(value)
+            elif isinstance(value, list):
+                config[key] = [cls.resolve_env_variables(item) if isinstance(item, dict) else item for item in value]
+        return config
+
+    def get_enabled_servers(self) -> dict[str, McpServerConfig]:
+        """Get only the enabled MCP servers.
+
+        Returns:
+            Dictionary of enabled MCP servers.
+        """
+        return {name: config for name, config in self.mcp_servers.items() if config.enabled}
+
+
+_mcp_config: McpConfig | None = None
+
+
+def get_mcp_config() -> McpConfig:
+    """Get the MCP config instance.
+
+    Returns a cached singleton instance. Use `reload_mcp_config()` to reload
+    from file, or `reset_mcp_config()` to clear the cache.
+
+    Returns:
+        The cached McpConfig instance.
+    """
+    global _mcp_config
+    if _mcp_config is None:
+        _mcp_config = McpConfig.from_file()
+    return _mcp_config
+
+
+def reload_mcp_config(config_path: str | None = None) -> McpConfig:
+    """Reload the MCP config from file and update the cached instance.
+
+    This is useful when the config file has been modified and you want
+    to pick up the changes without restarting the application.
+
+    Args:
+        config_path: Optional path to MCP config file. If not provided,
+                     uses the default resolution strategy.
+
+    Returns:
+        The newly loaded McpConfig instance.
+    """
+    global _mcp_config
+    _mcp_config = McpConfig.from_file(config_path)
+    return _mcp_config
+
+
+def reset_mcp_config() -> None:
+    """Reset the cached MCP config instance.
+
+    This clears the singleton cache, causing the next call to
+    `get_mcp_config()` to reload from file. Useful for testing
+    or when switching between different configurations.
+    """
+    global _mcp_config
+    _mcp_config = None
+
+
+def set_mcp_config(config: McpConfig) -> None:
+    """Set a custom MCP config instance.
+
+    This allows injecting a custom or mock config for testing purposes.
+
+    Args:
+        config: The McpConfig instance to use.
+    """
+    global _mcp_config
+    _mcp_config = config

backend/src/gateway/app.py

@@ -17,6 +17,15 @@ async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]:
     config = get_gateway_config()
     logger.info(f"Starting API Gateway on {config.host}:{config.port}")
     logger.info(f"Proxying to LangGraph server at {config.langgraph_url}")
+
+    # Initialize MCP tools at startup
+    try:
+        from src.mcp import initialize_mcp_tools
+
+        await initialize_mcp_tools()
+    except Exception as e:
+        logger.warning(f"Failed to initialize MCP tools: {e}")
+
     yield
     logger.info("Shutting down API Gateway")
     # Close the shared HTTP client

backend/src/mcp/__init__.py

@@ -0,0 +1,14 @@
+"""MCP (Model Context Protocol) integration using langchain-mcp-adapters."""
+
+from .cache import get_cached_mcp_tools, initialize_mcp_tools, reset_mcp_tools_cache
+from .client import build_server_params, build_servers_config
+from .tools import get_mcp_tools
+
+__all__ = [
+    "build_server_params",
+    "build_servers_config",
+    "get_mcp_tools",
+    "initialize_mcp_tools",
+    "get_cached_mcp_tools",
+    "reset_mcp_tools_cache",
+]

backend/src/mcp/cache.py

@@ -0,0 +1,85 @@
+"""Cache for MCP tools to avoid repeated loading."""
+
+import asyncio
+import logging
+
+from langchain_core.tools import BaseTool
+
+logger = logging.getLogger(__name__)
+
+_mcp_tools_cache: list[BaseTool] | None = None
+_cache_initialized = False
+_initialization_lock = asyncio.Lock()
+
+
+async def initialize_mcp_tools() -> list[BaseTool]:
+    """Initialize and cache MCP tools.
+
+    This should be called once at application startup.
+
+    Returns:
+        List of LangChain tools from all enabled MCP servers.
+    """
+    global _mcp_tools_cache, _cache_initialized
+
+    async with _initialization_lock:
+        if _cache_initialized:
+            logger.info("MCP tools already initialized")
+            return _mcp_tools_cache or []
+
+        from src.mcp.tools import get_mcp_tools
+
+        logger.info("Initializing MCP tools...")
+        _mcp_tools_cache = await get_mcp_tools()
+        _cache_initialized = True
+        logger.info(f"MCP tools initialized: {len(_mcp_tools_cache)} tool(s) loaded")
+
+        return _mcp_tools_cache
+
+
+def get_cached_mcp_tools() -> list[BaseTool]:
+    """Get cached MCP tools with lazy initialization.
+
+    If tools are not initialized, automatically initializes them.
+    This ensures MCP tools work in both FastAPI and LangGraph Studio contexts.
+
+    Returns:
+        List of cached MCP tools.
+    """
+    global _cache_initialized
+
+    if not _cache_initialized:
+        logger.info("MCP tools not initialized, performing lazy initialization...")
+        try:
+            # Try to initialize in the current event loop
+            loop = asyncio.get_event_loop()
+            if loop.is_running():
+                # If loop is already running (e.g., in LangGraph Studio),
+                # we need to create a new loop in a thread
+                import concurrent.futures
+
+                with concurrent.futures.ThreadPoolExecutor() as executor:
+                    future = executor.submit(asyncio.run, initialize_mcp_tools())
+                    future.result()
+            else:
+                # If no loop is running, we can use the current loop
+                loop.run_until_complete(initialize_mcp_tools())
+        except RuntimeError:
+            # No event loop exists, create one
+            asyncio.run(initialize_mcp_tools())
+        except Exception as e:
+            logger.error(f"Failed to lazy-initialize MCP tools: {e}")
+            return []
+
+    return _mcp_tools_cache or []
+
+
+def reset_mcp_tools_cache() -> None:
+    """Reset the MCP tools cache.
+
+    This is useful for testing or when you want to reload MCP tools.
+    """
+    global _mcp_tools_cache, _cache_initialized
+    _mcp_tools_cache = None
+    _cache_initialized = False
+    logger.info("MCP tools cache reset")

backend/src/mcp/client.py

@@ -0,0 +1,57 @@
+"""MCP client using langchain-mcp-adapters."""
+
+import logging
+from typing import Any
+
+from src.config.mcp_config import McpConfig, McpServerConfig
+
+logger = logging.getLogger(__name__)
+
+
+def build_server_params(server_name: str, config: McpServerConfig) -> dict[str, Any]:
+    """Build server parameters for MultiServerMCPClient.
+
+    Args:
+        server_name: Name of the MCP server.
+        config: Configuration for the MCP server.
+
+    Returns:
+        Dictionary of server parameters for langchain-mcp-adapters.
+    """
+    params: dict[str, Any] = {
+        "command": config.command,
+        "args": config.args,
+        "transport": "stdio",  # Default to stdio transport
+    }
+
+    # Add environment variables if present
+    if config.env:
+        params["env"] = config.env
+
+    return params
+
+
+def build_servers_config(mcp_config: McpConfig) -> dict[str, dict[str, Any]]:
+    """Build servers configuration for MultiServerMCPClient.
+
+    Args:
+        mcp_config: MCP configuration containing all servers.
+
+    Returns:
+        Dictionary mapping server names to their parameters.
+    """
+    enabled_servers = mcp_config.get_enabled_servers()
+
+    if not enabled_servers:
+        logger.info("No enabled MCP servers found")
+        return {}
+
+    servers_config = {}
+    for server_name, server_config in enabled_servers.items():
+        try:
+            servers_config[server_name] = build_server_params(server_name, server_config)
+            logger.info(f"Configured MCP server: {server_name}")
+        except Exception as e:
+            logger.error(f"Failed to configure MCP server '{server_name}': {e}")
+
+    return servers_config

backend/src/mcp/tools.py

@@ -0,0 +1,45 @@
+"""Load MCP tools using langchain-mcp-adapters."""
+
+import logging
+
+from langchain_core.tools import BaseTool
+
+from src.config.mcp_config import get_mcp_config
+from src.mcp.client import build_servers_config
+
+logger = logging.getLogger(__name__)
+
+
+async def get_mcp_tools() -> list[BaseTool]:
+    """Get all tools from enabled MCP servers.
+
+    Returns:
+        List of LangChain tools from all enabled MCP servers.
+    """
+    try:
+        from langchain_mcp_adapters.client import MultiServerMCPClient
+    except ImportError:
+        logger.warning("langchain-mcp-adapters not installed. Install it to enable MCP tools: pip install langchain-mcp-adapters")
+        return []
+
+    mcp_config = get_mcp_config()
+    servers_config = build_servers_config(mcp_config)
+
+    if not servers_config:
+        logger.info("No enabled MCP servers configured")
+        return []
+
+    try:
+        # Create the multi-server MCP client
+        logger.info(f"Initializing MCP client with {len(servers_config)} server(s)")
+        client = MultiServerMCPClient(servers_config)
+
+        # Get all tools from all servers
+        tools = await client.get_tools()
+        logger.info(f"Successfully loaded {len(tools)} tool(s) from MCP servers")
+
+        return tools
+
+    except Exception as e:
+        logger.error(f"Failed to load MCP tools: {e}", exc_info=True)
+        return []

backend/src/tools/tools.py

@@ -1,17 +1,47 @@
+import logging
+
 from langchain.tools import BaseTool
 
 from src.config import get_app_config
 from src.reflection import resolve_variable
 from src.tools.builtins import ask_clarification_tool, present_file_tool
 
+logger = logging.getLogger(__name__)
+
 BUILTIN_TOOLS = [
     present_file_tool,
     ask_clarification_tool,
 ]
 
 
-def get_available_tools(groups: list[str] | None = None) -> list[BaseTool]:
-    """Get all available tools from config"""
+def get_available_tools(groups: list[str] | None = None, include_mcp: bool = True) -> list[BaseTool]:
+    """Get all available tools from config.
+
+    Note: MCP tools should be initialized at application startup using
+    `initialize_mcp_tools()` from src.mcp module.
+
+    Args:
+        groups: Optional list of tool groups to filter by.
+        include_mcp: Whether to include tools from MCP servers (default: True).
+
+    Returns:
+        List of available tools.
+    """
     config = get_app_config()
     loaded_tools = [resolve_variable(tool.use, BaseTool) for tool in config.tools if groups is None or tool.group in groups]
-    return loaded_tools + BUILTIN_TOOLS
+
+    # Get cached MCP tools if enabled
+    mcp_tools = []
+    if include_mcp and config.mcp and config.mcp.get_enabled_servers():
+        try:
+            from src.mcp.cache import get_cached_mcp_tools
+
+            mcp_tools = get_cached_mcp_tools()
+            if mcp_tools:
+                logger.debug(f"Using {len(mcp_tools)} cached MCP tool(s)")
+        except ImportError:
+            logger.warning("MCP module not available. Install 'langchain-mcp-adapters' package to enable MCP tools.")
+        except Exception as e:
+            logger.error(f"Failed to get cached MCP tools: {e}")
+
+    return loaded_tools + BUILTIN_TOOLS + mcp_tools

backend/uv.lock

@@ -47,6 +47,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/38/0e/27be9fdef66e72d64c0cdc3cc2823101b80585f8119b5c112c2e8f5f7dab/anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c", size = 113592, upload-time = "2026-01-06T11:45:19.497Z" },
 ]
 
+[[package]]
+name = "attrs"
+version = "25.4.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/6b/5c/685e6633917e101e5dcb62b9dd76946cbb57c26e133bae9e0cd36033c0a9/attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11", size = 934251, upload-time = "2025-10-06T13:54:44.725Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3a/2a/7cc015f5b9f5db42b7d48157e23356022889fc354a2813c15934b7cb5c0e/attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373", size = 67615, upload-time = "2025-10-06T13:54:43.17Z" },
+]
+
 [[package]]
 name = "beautifulsoup4"
 version = "4.14.3"
@@ -292,6 +301,7 @@ dependencies = [
     { name = "httpx" },
     { name = "langchain" },
     { name = "langchain-deepseek" },
+    { name = "langchain-mcp-adapters" },
     { name = "langchain-openai" },
     { name = "langgraph" },
     { name = "langgraph-cli", extra = ["inmem"] },
@@ -318,6 +328,7 @@ requires-dist = [
     { name = "httpx", specifier = ">=0.28.0" },
     { name = "langchain", specifier = ">=1.2.3" },
     { name = "langchain-deepseek", specifier = ">=1.0.1" },
+    { name = "langchain-mcp-adapters", specifier = ">=0.1.0" },
     { name = "langchain-openai", specifier = ">=1.1.7" },
     { name = "langgraph", specifier = ">=1.0.6" },
     { name = "langgraph-cli", extras = ["inmem"], specifier = ">=0.4.11" },
@@ -570,6 +581,15 @@ socks = [
     { name = "socksio" },
 ]
 
+[[package]]
+name = "httpx-sse"
+version = "0.4.3"
+source = { registry = "https://pypi.org/simple" }
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