What are the prerequisites for using this tool?

You need Node.js 16+ installed in your environment to use this package.

The `convertMcpToLangchainTools()` function initializes specified MCP servers in parallel and converts their available tools into an array of LangChain-compatible tools.

Where can I find example usage of the tool?

You can find complete, minimal working usage examples at this GitHub repository: https://github.com/hideya/langchain-mcp-tools-ts-usage/blob/main/src/index.ts

What kind of results are supported?

Currently, only text results of tool calls are supported by this utility.

What does Langchain Mcp Tools Ts do?

It simplifies integrating Model Context Protocol (MCP) servers, offering 1500+ functional components, with LangChain in TypeScript projects. It converts MCP tools into LangChain-compatible tools.

Langchain Mcp Tools Ts

Name: Langchain Mcp Tools Ts
Author: hideya

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Simplifies the integration of Model Context Protocol (MCP) server tools with LangChain in TypeScript projects.

This package provides a utility function, `convertMcpToLangchainTools()`, that simplifies the process of utilizing Model Context Protocol (MCP) server tools within LangChain projects using TypeScript. By initializing multiple MCP servers in parallel, it converts their available tools into an array of LangChain-compatible tools, enabling seamless integration with over 1500 functional components available as MCP servers. The utility also includes a cleanup function to properly close MCP server sessions after use, enhancing the functionality and scope of LangChain applications by leveraging external tools and resources.

主な機能

01Facilitates the use of external tools and resources within LangChain applications.

02Converts MCP server tools into LangChain-compatible tools.

0317 GitHub stars

04Initializes multiple MCP servers in parallel for efficient integration.

05Provides a cleanup function to close MCP server sessions.

06Supports integration with over 1500 functional components available as MCP servers.

ユースケース

01Automating workflows by integrating various MCP server tools.

02Extending LangChain's capabilities with external tools and resources.

03Building LangChain applications that leverage a wide range of data sources and services.