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

One tool provides a simple CLI implementation of an MCP client using a LangChain ReAct agent, while the other offers an example of how to use MCP tools from a LangChain ReAct agent, making them ecosystem siblings where one showcases usage for the other.

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: 13
Forks: 4
Downloads:
Commits (30d): 0
Language: JavaScript
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-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

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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