The MCP Docs Server is a Node.js implementation of a Model Context Protocol (MCP) server that provides a powerful tool to search and retrieve up-to-date documentation snippets from popular AI/ML libraries. It leverages the Serper API to perform Google searches restricted to specific documentation domains, extracts meaningful content using web
Overview
What is Mcp Client Typescript?
Mcp Client Typescript is a Node.js implementation of a Model Context Protocol (MCP) server that allows users to search and retrieve up-to-date documentation snippets from popular AI/ML libraries.
How to use Mcp Client Typescript?
To use the MCP Docs Server, clone the repository, install the dependencies, set up your environment variables, and run the server. You can then use the get_docs tool to search for documentation snippets.
Key features of Mcp Client Typescript?
- MCP-compliant server using
@modelcontextprotocol/sdk - Searches Google for the latest documentation using the Serper API
- Supports libraries like LangChain, LlamaIndex, and OpenAI
- Returns plain text from documentation pages
- Handles timeouts and search failures gracefully
Use cases of Mcp Client Typescript?
- Quickly fetching documentation snippets for AI/ML libraries.
- Assisting developers in finding relevant information without browsing multiple sites.
- Integrating with other tools that require documentation retrieval.
FAQ from Mcp Client Typescript?
- What libraries does the MCP Docs Server support?
It supports LangChain, LlamaIndex, and OpenAI.
- How do I get a Serper API key?
You can obtain a Serper API key by visiting serper.dev.
- Is there a license for this project?
Yes, it is licensed under the MIT License.