mcp-client-langchain-py and langchain-mcp-tools-py-usage
The two tools are complements: A, a CLI implementation of an MCP client using a LangChain ReAct agent, likely interacts with and utilizes the MCP tools demonstrated for usage in LangChain ReAct agents by B.
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.
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.
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