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LangChain Agent with MCP Servers

@esakrissa

代码仓库

关于 LangChain Agent with MCP Servers

LangChain Agent with MCP Servers: Using LangChain MCP Adapters for tool integration.

#langchain#mcp#tool-integration

基本信息

分类

AI 与智能体

运行时

python

传输方式

stdio

发布者

esakrissa

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "langchain-mcp-esakrissa": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

评论

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