mcp-client-langchain-py and langchain-mcp-tools-ts-usage

These are ecosystem siblings, as the Python tool is a client implementation using a LangChain ReAct Agent, and the TypeScript tool demonstrates the usage of MCP tools from a LangChain ReAct Agent.

Maintenance 10/25
Adoption 5/25
Maturity 16/25
Community 15/25
Maintenance 10/25
Adoption 5/25
Maturity 16/25
Community 14/25
Stars: 11
Forks: 4
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 11
Forks: 3
Downloads:
Commits (30d): 0
Language: TypeScript
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-ts-usage

hideya/langchain-mcp-tools-ts-usage

MCP Tools Usage From LangChain ReAct Agent / Example in TypeScript

This tool helps developers integrate various external services, or "tools," defined by the Model Context Protocol (MCP) into their LangChain-based applications. It takes definitions from multiple MCP servers and converts them into a format LangChain agents can use, handling compatibility issues between different large language model providers. This is designed for software developers building applications that use LangChain and need to interact with external MCP-compatible services.

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

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