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650,404 tools. Updated 2026-10-13 05:02

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

  • Discover which scraping tools and Actors exist for any platform or use case in the Apify Store. Browse available solutions to match your data extraction needs.
    MIT
  • 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

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.
    1
    4
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  • 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

  • SSE Accept hint

  • Web scraping for AI agents: scrape, search, crawl, map any website to markdown + JSON. No browser.

  • 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
  • Detach a block storage volume from a cloud VM using the volume ID and server ID. Useful for storage management or before deleting a server.
    MIT
  • Search Apify and Crawlee docs via full-text queries to find relevant pages on platform features, SDKs, CLI, REST API, and web scraping libraries.
    MIT
  • 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
  • Create documentation nodes with markdown and LaTeX support for mathematical formulas, rich text content, and project tracking in visual workflows.
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  • Get precise answers to any question about Lamatic.ai documentation by searching all indexed docs with RAG.
    MIT
  • Search Haystack Enterprise Platform documentation for components, pipelines, and AI features, filtering by section to retrieve relevant excerpts with source URLs.
    Apache 2.0
  • Search PatternFly documentation, component names, and resource URIs by keyword, version, or wildcard, then pass results to the retrieval tool for guides and schemas.
    MIT
  • Retrieve current connection status, latency, and version details for Memory Server, RAG Server, and Google services to verify service availability.
    MIT
  • Extract clean content from a public URL, returning Markdown, text, metadata, links, JSON-LD schema, and sections for scraping, RAG ingestion, or content analysis.
    MIT
  • Create a searchable knowledge tool for retrieving documents. Integrates selected knowledge folders into a custom tool for RAG-based document search.
    MIT