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131,189 tools. Last updated 2026-05-07 23:04

"A server or tool using RAG for documentation scraping, storage, and retrieval with SSE support" matching MCP tools:

Matching MCP Servers

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    license
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    maintenance
    Enables retrieval and cleaning of official documentation content for popular AI/Python libraries (uv, langchain, openai, llama-index) through web scraping and LLM-powered content extraction. Uses Serper API for search and Groq API to clean HTML into readable text with source attribution.
    Last updated
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  • A
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    quality
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    Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.
    Last updated
    MIT

Matching MCP Connectors

  • Retrieve documentation for the Harvest MCP server's time tracking tools, including general server information or specific tool details.
    MIT
  • Extract answers from web pages by analyzing content with AI. Provide a URL and question to get specific information from the page.
    MIT
  • Generate a runnable MCP server project with tool definitions, license gating for paid features, and hosting options for local or remote deployment.
    MIT
  • Discover available documentation topics, URI patterns, and version support for Splunk. Use this tool to identify what content is accessible before requesting specific topics.
  • Retrieve server details like version, storage path, and configuration to verify connection, debug issues, or troubleshoot problems with the Knowledge MCP Server.
  • Create documentation nodes with markdown and LaTeX support for mathematical formulas, rich text content, and project tracking in visual workflows.
  • Search indexed code and documentation using hybrid semantic and keyword retrieval. Ideal for answering questions about your codebase and project architecture.
  • Retrieve Insforge documentation for backend setup, SDKs, and components. Start with essential instructions, then access specific guides for database, authentication, storage, functions, AI integration, or real-time features.
    Apache 2.0