docret-mcp-server

3.2

developer_tools ai_chatbot knowledge_and_memory

If you are the rightful owner of docret-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The Documentation Retrieval MCP Server (DOCRET) is designed to provide AI assistants with access to the latest documentation for Python libraries like LangChain, LlamaIndex, and OpenAI.

The Documentation Retrieval MCP Server (DOCRET) is a Model Context Protocol (MCP) server that allows AI assistants to dynamically access and retrieve up-to-date documentation for various Python libraries. By leveraging this server, AI applications can ensure they always have the latest official documentation at their disposal. The server uses the SERPER API for efficient web searches and BeautifulSoup for HTML parsing, making it easy to fetch and process documentation content. The server is designed to be extensible, allowing developers to add support for additional libraries by updating the configuration. This ensures that the server can grow and adapt to include more resources as needed.

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.

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