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
649,985 tools. Updated 2026-10-10 15:32
"A search for information about PDFs or related content" matching MCP tools:
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- Retrieve detailed information about any skill, including evaluation, pros/cons, and optional full SKILL.md content.MIT
- Retrieve all known information about a topic, including linked memories, related entities, and a timeline.MIT
- Retrieve detailed information about a specific job posting using its search ID. Access job description, requirements, and metadata.MIT
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- Retrieve metadata for available mobile bills from Austrian carriers to review billing information before downloading PDFs.MIT
- Search deals by term to find matches across titles, notes, and related content.MIT
- Search for text within wiki-hosted files such as PDFs and text documents. Specify a filename and query to retrieve matches with page or line numbers.MIT
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- Retrieve detailed information about a specific Product Hunt comment using its unique ID. Access comment content, user details, timestamps, and related post data.MIT
- Retrieve detailed information about a specific Railway service, including configuration, deployment status, and health metrics for monitoring and management.MIT