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260,585 tools. Last updated 2026-07-05 07:35

"Information or uses related to a rag" matching MCP tools:

  • Ask questions enhanced by RAG context from xAI Collections, with cached responses for fast repeat queries.
    MIT
  • Ask natural-language questions about your browsing history and get AI-powered answers using RAG. Filter results by event type, domain, or time window.
    MIT
  • Retrieve detailed information about a specific RAG project within the Calibre ebook library, including its configuration, contents, and organization for semantic search and contextual conversations.
  • Export a completed dataset as text in jsonl, csv, json, md, xml, or rag format for LLM fine-tuning, spreadsheet analysis, or structured interchange.
    MIT
  • Retrieve detailed information about any Apify Actor, including description, input schema, pricing, stats, and README, using its ID or full name.
    MIT

Matching MCP Servers

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    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
    Last updated
    4

Matching MCP Connectors

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Turn any shopping list into a ready-to-checkout grocery cart across 26 European supermarkets.

  • 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
  • Generate vector embeddings from text for semantic search, RAG, clustering, or similarity tasks. Choose between query or document input type and adjust model quality and dimensionality.
    MIT
  • Find coins related to a given coin by category or sector similarity. Provide the canonical coin ID to retrieve a list of related coins, optionally limiting the number.
    MIT
  • Query Vectara's RAG system to retrieve search results and generate contextual responses using specified corpus keys and API parameters for accurate information extraction.
    Apache 2.0
  • Lists all available RAG categories indexed by RAGMap to help you identify suitable retrieval servers for your task.
    MIT
  • Update a memory's content, title, or location with optimistic concurrency to prevent overwrites. Optionally move it to a new path or update related paths.
    MIT
  • Find threat signatures related to a specific signature using pattern similarity. Requires Pro tier or Novyx Cloud.
    MIT
  • Create a searchable knowledge tool for retrieving documents. Integrates selected knowledge folders into a custom tool for RAG-based document search.
    MIT
  • Retrieve LAZY-RAG cache statistics including hits, misses, hit rate, and cache size to monitor caching performance.
    MIT
  • Retrieve all known information about a topic, including linked memories, related entities, and a timeline.
    MIT