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

These are ecosystem siblings, specifically two different client implementations (Python and TypeScript) for integrating MCP tools with LangChain ReAct agents, allowing developers to choose the language that best fits their project.

Maintenance 10/25
Adoption 4/25
Maturity 16/25
Community 15/25
Maintenance 10/25
Adoption 5/25
Maturity 16/25
Community 14/25
Stars: 6
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 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

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

Scores updated daily from GitHub, PyPI, and npm data. How scores work