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471,109 tools. Updated 2026-08-23 19:17

"A tool to evaluate the suitability of semantic search queries" matching MCP tools:

  • 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
  • Search academic papers from Semantic Scholar using queries with optional year filters to find relevant research publications.
    MIT
  • Search specific Turkish statutes' articles using keyword queries with Boolean operators or semantic AI search for natural language questions.
    MIT

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    Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.
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    BSD 2-Clause "Simplified"

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  • Check if a task runs locally vs cloud. Save money on calls that don't need cloud inference.

  • x402 game: take the crown, each take raises the next price 1.5x. hill_status is free.

  • Search a codebase using keyword, semantic, or hybrid queries to find relevant code chunks with file paths, line numbers, and relevance scores.
    MIT
  • Search within a specific legislation number using keyword Boolean operators or natural language semantic queries to find matching articles.
    MIT
  • Perform semantic search for skills using natural language queries. Describe what you want to accomplish when keywords aren't sufficient to find relevant skills.
    MIT
  • Search Polish academic profiles using semantic queries for research topics, keywords, or natural language. Returns ranked results with profile IDs and URLs from the Ludzie Nauki database.
    MIT
  • Search documentation using semantic similarity. Pose natural language queries to find relevant docs, with optional filtering by doc slugs and source type.
    MIT
  • Compares before and after screenshots to evaluate if UI changes match the intended design request, using semantic analysis beyond pixel diffing.
    MIT
  • Find patents technically related to a given patent using Google Patents' semantic similarity ranking.
    MIT
  • Locate relevant Obsidian notes using hybrid (semantic + full-text), semantic-only, or exact phrase search modes.
    Apache 2.0
  • Search a code repository using natural language queries, retrieving relevant code by fusing semantic vector matches with lexical search results.
    MIT
  • Locate knowledge nodes using text queries, AI-based meaning search, or date filters. Get ranked results with tag and type options.
    MIT
  • Search Collibra documentation using semantic or hybrid queries to retrieve top relevant chunks with file paths, headings, and similarity scores, ideal for conceptual and 'how do I' questions.
    Apache 2.0