langchain-mcp-adapters and langchain-mcp-tools-py-usage
The first is an official LangChain adapter that enables integration of any MCP server into LangChain agents, while the second is a minimal example demonstrating how to use that adapter in a ReAct agent—making them complements where the former provides the infrastructure and the latter shows its usage pattern.
About langchain-mcp-adapters
langchain-ai/langchain-mcp-adapters
LangChain 🔌 MCP
This project helps AI developers integrate external capabilities, like custom calculators or data lookups, into their LangChain or LangGraph AI agents. It takes existing 'Model Context Protocol' (MCP) tools, which are essentially specialized functions, and makes them accessible to the AI agent. The result is an AI agent that can perform a wider range of tasks by using these external tools.
About langchain-mcp-tools-py-usage
hideya/langchain-mcp-tools-py-usage
MCP Tools Usage From LangChain ReAct Agent / Example in Python
This is a basic example for Python developers working with LangChain. It demonstrates how to connect your LangChain ReAct agent to external Model Context Protocol (MCP) servers. You provide the MCP server endpoints and an LLM API key, and it shows how to use the tools exposed by those servers within your LangChain application.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work