langchain-mcp-adapters and mcp-client-langchain-py

These are ecosystem siblings—the official LangChain MCP adapters provide the standardized integration layer that enables third-party implementations like the ReAct agent client to connect LangChain agents to MCP servers.

Maintenance 20/25
Adoption 15/25
Maturity 25/25
Community 21/25
Maintenance 10/25
Adoption 5/25
Maturity 16/25
Community 15/25
Stars: 3,411
Forks: 379
Downloads:
Commits (30d): 21
Language: Python
License: MIT
Stars: 11
Forks: 4
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No Package No Dependents

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.

AI development LLM integration tool orchestration agent workflow external service connection

About mcp-client-langchain-py

hideya/mcp-client-langchain-py

Simple MCP Client CLI Implementation Using LangChain ReAct Agent / Python

This tool helps developers quickly test and explore Model Context Protocol (MCP) servers using a command-line interface. It takes your natural language questions and an MCP server configuration, then provides text-based responses by routing your queries through various large language models. This is ideal for developers, solution architects, or anyone building or integrating with MCP servers.

LLM-integration API-testing server-development AI-prototyping model-context-protocol

Scores updated daily from GitHub, PyPI, and npm data. How scores work