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Docret MCP Server logo

Docret MCP Server

Sreedeep-SS/docret-mcp-server

This project implements a Model Context Protocol (MCP) server that enables AI assistants to access up-to-date documentation for various Python libraries, including LangChain, LlamaIndex, and OpenAI. By leveraging this server, AI assistants can dynamically fetch and provide relevant information from official documentation sources.

Install

Environment variables

SERPER_API_KEY
GitHub stars
1
Category
Knowledge Management, Developer Tools
License
MIT
Updated
Oct 6, 2026

About Docret MCP Server

The goal is to ensure that AI applications always have access to the latest official documentation.

The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers.

Features

  • Dynamic Documentation Retrieval: Fetches the latest documentation content for specified Python libraries.

  • Asynchronous Web Searches: Utilizes the SERPER API to perform efficient web searches within targeted documentation sites.

  • HTML Parsing: Employs BeautifulSoup to extract readable text from HTML content.

  • Extensible Design: Easily add support for additional libraries by updating the configuration.

Details on this page are taken from the project's README. Open README

Supported clients

Clients mentioned in this server's README:

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