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

One tool is a LangChain Model Context Protocol (MCP) client library written in Python, while the other is a simple CLI implementation of an MCP client that leverages LangChain's ReAct Agent, suggesting the latter could be an example or application built on top of the former.

Maintenance 2/25
Adoption 5/25
Maturity 25/25
Community 15/25
Maintenance 10/25
Adoption 5/25
Maturity 16/25
Community 15/25
Stars: 10
Forks: 4
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 11
Forks: 4
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m
No Package No Dependents

About langchain-mcp-client

datalayer/langchain-mcp-client

🦜🔗 LangChain Model Context Protocol (MCP) Client

This client helps developers integrate external tools and services, defined by the Model Context Protocol (MCP), into their LangChain applications. It takes in MCP server configurations and API keys, and outputs a seamless way for LangChain agents to access and use those external tools. Developers building sophisticated AI applications that require interaction with specialized services will find this useful.

AI-application-development LangChain-integration LLM-tooling backend-integration

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

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