LangChain Agent with MCP Servers: Using LangChain MCP Adapters for tool integration.
Overview
what is LangChain Agent with MCP Servers?
LangChain Agent with MCP Servers is a project that demonstrates how to build a LangChain agent using Model Context Protocol (MCP) adapters for integrating various tools and services.
how to use LangChain Agent with MCP Servers?
To use the agent, clone the repository, set up a virtual environment, install dependencies, and run the agent from the command line. It will prompt for user queries and process them using the integrated tools.
key features of LangChain Agent with MCP Servers?
- Graceful shutdown mechanism for all MCP servers
- Subprocess management for tracking and managing MCP server subprocesses
- Robust error handling throughout the application
- Modular design allowing easy extension with additional MCP servers
use cases of LangChain Agent with MCP Servers?
- Integrating web search capabilities with Tavily Search.
- Retrieving mock weather information.
- Evaluating mathematical expressions dynamically based on user queries.
FAQ from LangChain Agent with MCP Servers?
- How do I install the project?
Clone the repository, create a virtual environment, and install the dependencies using pip.
- Can I add new MCP servers?
Yes! You can create a new file in the src/mcpserver/ directory and implement the server with proper signal handling.