Documentation Retrieval MCP Server (DOCRET)

What is DOCRET?

DOCRET is a Documentation Retrieval MCP Server that enables AI assistants to access up-to-date documentation for various Python libraries, ensuring that AI applications always have access to the latest official documentation.

How to use DOCRET?

To use DOCRET, clone the repository, set up a virtual environment, install dependencies, configure environment variables, and run the server. You can then use the provided API to fetch documentation content from supported libraries.

Key features of DOCRET?

• Dynamic documentation retrieval for specified Python libraries.
• Asynchronous web searches using the SERPER API.
• HTML parsing to extract readable text from documentation.
• Extensible design to easily add support for additional libraries.

Use cases of DOCRET?

1. Fetching the latest documentation for LangChain, LlamaIndex, and OpenAI.
2. Integrating with AI assistants for real-time documentation access.
3. Supporting developers in accessing up-to-date library information.

FAQ from DOCRET?

• What libraries does DOCRET support?

Currently, DOCRET supports LangChain, LlamaIndex, and OpenAI, with plans to add more.

• Is there a cost to use DOCRET?

No, DOCRET is open-source and free to use.

• How can I extend DOCRET to support more libraries?

You can update the docs_urls dictionary in main.py with the new library name and its documentation URL.