What are the prerequisites?
Node.js 18+. Optional: npm 7+ for Node.js-based local MCP servers, and `uv` (`uvx`) for Python-based local MCP servers.
MCP To LangChain Tools Conversion Utility / TypeScript
@hideya
基本信息
关于 MCP To LangChain Tools Conversion Utility / TypeScript
MCP to LangChain Tools Conversion Utility / TypeScript
MCP To LangChain Tools Conversion Utility / TypeScript 配置
MCP To LangChain Tools Conversion Utility / TypeScript 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is MCP To LangChain Tools Conversion Utility / TypeScript?
A lightweight TypeScript library that converts MCP (Model Context Protocol) server tools into LangChain-compatible StructuredTool objects. It allows developers to integrate any MCP server—local or remote—into LangChain agents and chains with minimal configuration.
How to use MCP To LangChain Tools Conversion Utility / TypeScript?
Install via npm i @h1deya/langchain-mcp-tools, then call convertMcpToLangchainTools() with an McpServersConfig object that mirrors the mcpServers structure from Claude for Desktop. The function returns an array of LangChain tools and a cleanup callback. Use the tools with LangChain models and always invoke cleanup() when done.
Key features of MCP To LangChain Tools Conversion Utility / TypeScript
- Converts multiple MCP servers into LangChain tools in parallel
- LLM provider-specific schema transformations (Gemini, OpenAI, etc.)
- Supports local stdio and remote HTTP, SSE, and WebSocket MCP servers
- Automatic transport selection and explicit configuration
- Stderr redirection and working directory control for local servers
- Concurrent cleanup with error handling
Use cases of MCP To LangChain Tools Conversion Utility / TypeScript
- Integrate filesystem, fetch, and search MCP tools into a LangChain agent
- Combine public and private MCP servers (Brave Search, GitHub, Notion) in one application
- Quickly experiment with custom MCP servers in a LangChain prototype
- Access the growing ecosystem of 2000+ MCP servers from LangChain
常见问题
Does it support remote MCP servers?
Yes. It supports Streamable HTTP, SSE, and WebSocket transports. Transport is auto-detected or can be set explicitly via a `type` or `transport` field.
What are the known limitations?
Only text results of tool calls are supported—image or other content types are filtered out. Only the MCP Tools feature is implemented; Resources, Prompts, and Sampling are not supported.
How does the library handle schema compatibility?
When the `llmProvider` option is specified, the library performs provider-specific JSON schema transformations to prevent compatibility issues (e.g., for Google Gemini or OpenAI). Set it if you encounter schema-related warnings or errors.
How does cleanup work?
The `cleanup` function closes all MCP server connections concurrently and logs any failures. It continues cleanup of remaining servers even if some fail. Always call it in a `finally` block after using the tools.
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