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427,764 tools. Updated 2026-08-09 22:24

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

  • Execute a complete retrieval-augmented generation workflow to answer user questions using document context, automatically handling embedding, semantic search, and strict context-grounded responses.
    MIT
  • Search Apify and Crawlee documentation using full-text queries. Filter results by docSource to find relevant pages, URLs, and content snippets.
    MIT
  • Retrieve metadata for a live incident stream, including endpoint URL, payload schema, reconnect policy, and event-rate statistics, to prepare for SSE feed subscription.
    MIT
  • Find and discover pre-built scraping tools (Actors) for any platform or use case. Search the Apify Store to locate the right crawler, scraper, or AI agent for your data extraction needs.
    MIT

Matching MCP Servers

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    license
    A
    quality
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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.
    1
    2
  • A
    license
    B
    quality
    D
    maintenance
    Enables retrieval-augmented generation by embedding queries with a chosen provider (e.g., OpenAI) and searching supported vector stores (Pinecone, pgvector) to return relevant content.
    1
    Apache 2.0

Matching MCP Connectors

  • Find relevant Redis documentation and knowledge base articles by asking questions about concepts, data structures, features, and common use cases like caching, rate limiting, and RAG.
    MIT
  • Retrieve accurate Kubernetes documentation for kubectl commands, API objects, manifests, and version-specific features using a trusted, version-aware index to reduce hallucinations.
    MIT
  • Retrieve complete Amazon Business API documentation content using document references from search results. Access full API references, implementation guides, and detailed endpoint information for integration development.
    Apache 2.0
  • Retrieve server status and configuration information, including version, available catalogs, and artifact store status, to verify server connectivity and storage setup.
    Apache 2.0
  • Perform semantic search over a stored memory namespace to retrieve the most relevant entries. Use this to recall context for RAG pipelines.
    MIT
  • Check the current status of the RAG documentation index, including total chunks, configured sources, and last update times.
    Apache 2.0
  • Search Python library documentation using natural language queries to find specific functions, classes, and usage examples from consolidated sources.
    MIT
  • Get precise answers to any question about Lamatic.ai documentation by searching all indexed docs with RAG.
    MIT
  • Retrieve current connection status, latency, and version details for Memory Server, RAG Server, and Google services to verify service availability.
    MIT
  • Create a searchable knowledge tool for retrieving documents. Integrates selected knowledge folders into a custom tool for RAG-based document search.
    MIT