LangChain Agent with MCP Servers
@esakrissa
LangChain Agent with MCP Servers について
LangChain Agent with MCP Servers: Using LangChain MCP Adapters for tool integration.
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"langchain-mcp-esakrissa": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}ツール
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概要
What is LangChain Agent with MCP Servers?
A LangChain agent that uses the Model Context Protocol (MCP) to integrate with external services such as Tavily Search, a mock weather service, and a math expression evaluator. It is built for developers who want a modular, LangGraph-powered agent with graceful shutdown and easy extensibility.
How to use LangChain Agent with MCP Servers?
Install dependencies, create a virtual environment, and add API keys for OpenAI and Tavily to a .env file. Run python src/agent.py from the command line and enter a query when prompted. The agent automatically selects and invokes the appropriate MCP‑server tool.
Key features of LangChain Agent with MCP Servers
- Integrates with Tavily Search, weather, and math MCP servers
- Uses LangGraph’s ReAct agent pattern for dynamic tool selection
- Graceful shutdown via signal handling and subprocess tracking
- Robust error handling throughout the application
- Modular design makes adding new MCP servers straightforward
Use cases of LangChain Agent with MCP Servers
- Perform web searches and retrieve news via Tavily
- Get mock weather information for any location
- Evaluate mathematical expressions
- Demonstrate a LangChain agent that dynamically calls external MCP tools
FAQ from LangChain Agent with MCP Servers
What runtime dependencies are required?
Python 3.8+, a virtual environment, and the dependencies listed in setup.py. API keys for OpenAI and Tavily must be stored in a .env file.
How can I add a new MCP server?
Create a new file in src/mcpserver/ with proper signal handling, expose it in src/mcpserver/__init__.py, and add its configuration in src/agent.py.
What transport or authentication does the agent use?
MCP servers run as subprocesses and communicate via stdin/stdout. Authentication is handled via API keys passed in the .env file.
Does the agent support graceful shutdown?
Yes. It captures SIGINT and SIGTERM, tracks all child processes, and ensures they terminate cleanly. A shutdown flag prevents new operations during teardown, and asyncio allows in‑progress tasks to finish when possible.
What services are available out‑of‑the-box?
Tavily Search (web and news), a mock weather server, and a math expression evaluator.
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