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526,447 tools. Updated 2026-09-07 03:29

"Searching for local information or documents" matching MCP tools:

  • List documents in a Needle collection to check processing status, inventory available files, and verify document availability before searching.
    MIT
  • List all available documents in the configured directory with format detection and metadata including filename, pages, and size. Discover documents before reading or searching.
    MIT
    Destructive
  • Perform precise searches across Dutch parliamentary records, including documents, debates, and member information. Filter results using keywords, exact phrases, or advanced operators like 'NOT', 'OR', and 'NEAR()' for accurate topic tracking.
    MIT
  • Find documents by topic using semantic search over summaries. Returns titles, headings, and relevance scores to help locate relevant documents before searching for specific content.
    MIT
  • Exports all documents from a vault to a local directory, copying original files for backup or sharing.
    Business Source 1.1
  • Search local documents to retrieve relevant sources and snippets for grounding AI responses in verified information.
    MIT

Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
    33
    1
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    A local, offline MCP server that enables AI agents to collaborate with SketchUp for controlled modeling, editing, and review tasks via 41 MCP tools.
    Apache 2.0

Matching MCP Connectors

  • Find UK government guidance, policy documents, and official information by searching gov.uk content with natural language queries.
    MIT
  • Retrieve detailed form template information to examine structure and field specifications before creating documents or new forms in RSpace.
    AGPL 3.0
  • Add documents to a collection by providing a URL for download, processing them for text extraction, and indexing them for semantic search.
    MIT
  • Search documents using semantic understanding to find relevant content based on meaning rather than keywords. Understands natural language queries and returns ranked passages with source information.
    MIT
  • Download and decrypt attachments—images, voice, videos, documents—from a chat message. Saves a local copy for transcription or other uses.
    MIT
  • Create a new document collection to organize related documents and enable semantic search across their contents. Returns a collection ID for managing documents.
    MIT
  • Sort documents by their relevance to a specific query using Jina AI's reranking technology. Organize search results or content collections to prioritize information that best matches your topic.
    Apache 2.0
  • Retrieve AI-generated answers by searching your namespace of text documents or using direct AI model calls for question answering.
    Apache 2.0