Skip to main content
Glama
134,982 tools. Last updated 2026-05-14 14:56

"A server/tool for RAG-based documentation scraping and retrieval with SSE support" matching MCP tools:

  • Retrieve Python documentation pages or specific sections by slug and version. Use an anchor for compact section-only retrieval and paginate large pages with start_index.
    MIT
  • Stores a knowledge fragment with source and evidence tier metadata for future retrieval via semantic RAG queries.
    MIT
  • Discover all available documentation topics and URI patterns across Splunk categories. Use this tool to identify troubleshooting guides, admin topics, SPL commands, and version support before requesting specific documentation.
  • Discover available tools from any MCP server by specifying its command or URL. Returns tool names, descriptions, and input schemas for integration planning.
    MIT

Matching MCP Servers

  • F
    license
    A
    quality
    C
    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
    1
    1
  • A
    license
    -
    quality
    C
    maintenance
    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
  • Generate a runnable MCP server project with tool definitions, license gating for paid features, and hosting options for local or remote deployment.
    MIT
  • Perform web searches to retrieve structured, source-cited data optimized for AI agents and RAG applications.
    MIT
  • Extract answers from web pages by analyzing content with AI. Provide a URL and question to get specific information from the page.
    MIT
  • Create documentation nodes with markdown and LaTeX support for mathematical formulas, rich text content, and project tracking in visual workflows.
  • Creates or updates a node in a persistent graph memory for long-term RAG retrieval. Requires initialized NFT matrix; if missing, purchase license key first.
    Business Source 1.1
  • Upload files to process and index them for searchable knowledge retrieval using RAG (Retrieval-Augmented Generation) technology.
    MIT
  • Ask questions about memory files using retrieval-augmented generation to get answers from stored content with configurable search modes.
    MIT
  • Retrieve the SSE endpoint URL for APIFold MCP servers using a server slug and user key to access hosted API integrations.
    AGPL 3.0
  • Search uploaded documents using RAG to find answers with citations. Ask questions to retrieve information from your knowledge base.
    MIT