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.

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

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

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.

LangChain development LLM application development agent tool integration Model Context Protocol Python development

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