Documentation Retrieval MCP Server (DOCRET)
Overview
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?
- Fetching the latest documentation for LangChain, LlamaIndex, and OpenAI.
- Integrating with AI assistants for real-time documentation access.
- 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_urlsdictionary inmain.pywith the new library name and its documentation URL.
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