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

These are ecosystem siblings, specifically two implementations of a simple MCP client CLI using LangChain ReAct Agent, one in TypeScript and one in Python, allowing developers to choose their preferred language environment for similar functionality.

Maintenance 10/25
Adoption 5/25
Maturity 16/25
Community 15/25
Maintenance 10/25
Adoption 5/25
Maturity 16/25
Community 15/25
Stars: 11
Forks: 4
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 13
Forks: 4
Downloads:
Commits (30d): 0
Language: JavaScript
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 mcp-client-langchain-ts

hideya/mcp-client-langchain-ts

Simple MCP Client CLI Implementation Using LangChain ReAct Agent / TypeScript

This is a command-line tool for developers who work with AI models and want to quickly test and explore Model Context Protocol (MCP) servers. It takes your configuration for MCP servers and LLMs, letting you interact with these servers using text-based commands and receive text-based responses. This is ideal for AI/ML engineers or researchers who are building or integrating with MCP servers.

AI-model-testing LLM-integration server-prototyping developer-tools CLI-development

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