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304,932 tools. Last updated 2026-07-22 10:01

"A document or documentation-related search" matching MCP tools:

  • Create a new document collection to organize related documents and enable semantic search across their contents. Returns a collection ID for managing documents.
    MIT
  • Search Tenzir documentation by keyword to find operators, functions, or concepts, and explore related content through cross-references for comprehensive understanding.
    Apache 2.0
  • 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
  • Fetch full documentation content from MCP protocol or FastMCP framework URLs. Get complete protocol specs, tutorials, and instructions when search snippets are insufficient.
    MIT

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  • Find documents semantically related to any file or connector document. Uses vector embeddings to perform similarity search and return the most relevant content.
    MIT
  • Search the CERN Open Data portal for Higgs-related datasets, analysis code, and documentation to support particle physics research and analysis.
    GPL 3.0
  • Identify related documentation files by analyzing metadata from a specified project path and document file to enhance knowledge retrieval and organization.
  • Request addition of a document to the corpus when search returns no confident match. Provide document title, standard number, URL, edition, or search context.
    MIT
  • Retrieve complete API documentation or schema for a specific ID from Sendchamp search results. Returns parameter schemas, guides, and documentation links.
    MIT
  • Find Amazon Business API documentation using natural language queries. Search across API schemas, authentication guides, implementation examples, and troubleshooting resources to get relevant documentation snippets for integration development.
    Apache 2.0
  • Search KCL documentation by keyword to find relevant excerpts with surrounding context across language and standard library docs.
    MIT