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650,565 tools. Updated 2026-10-14 14:29

"Information on RAG Documents or Processing" matching MCP tools:

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
    11 npm
    1
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A production-ready Model Context Protocol server that bridges local document management with cloud synchronization (Notion) for AI agent integration, enabling seamless access and sync of local and cloud documents.
    12 npm
    MIT

Matching MCP Connectors

  • Authenticated Skavio document, PDF, media and transcription processing with USDC prepaid credits.

  • Congressional Documents — full-text search and retrieval over the official

  • Retrieve document counts by processing status (pending, processing, processed, failed) to quickly answer how many documents exist in LightRAG without listing all documents.
    MIT
  • Analyze large documents by breaking them into chunks and processing in parallel with multiple AI models to summarize, extract information, answer questions, or search content.
    MIT
  • Search uploaded documents using RAG to find answers with citations. Ask questions to retrieve information from your knowledge base.
    MIT
  • Find relevant documents in the RAG system using semantic search with customizable similarity thresholds and result limits.
    MIT
  • Scans document text, source, and type to validate and prepare content for retrieval-augmented generation (RAG) ingestion.
    Apache 2.0
  • Analyze document content using AI to bulk assign relevant tags. Skip already tagged documents and control processing volume.
    -
  • Create a named local vector index for retrieval-augmented generation. Documents added are embedded via Ollama for local RAG without cloud dependencies.
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