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.
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.
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.
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