langchain-mcp-tools-py and langchain-mcp-client
One project is a conversion utility to help integrate MCP tools into LangChain, while the other is a client library specifically for interacting with the LangChain Model Context Protocol (MCP), making them ecosystem siblings where one facilitates integration of tools into the other's context, and the other provides the core client for that context.
About langchain-mcp-tools-py
hideya/langchain-mcp-tools-py
MCP to LangChain Tools Conversion Utility / Python
This is a utility for developers building AI applications with LangChain. It helps connect a wide array of external tools and resources, such as databases, cloud storage, or GitHub, that follow the Model Context Protocol (MCP) into your LangChain-based agents. You provide configurations for your MCP servers, and it outputs ready-to-use LangChain tools.
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.
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