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227,869 tools. Last updated 2026-06-23 14:19

"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 a knowledge base with hybrid semantic and keyword search, returning ranked content chunks. Filter by category and minimum relevance score to refine results.
    MIT
  • Search Pāli tipiṭaka by semantic similarity. Adjust threshold for strict or broad matches, independent of keyword search.
    MIT
  • Search specific Turkish statutes' articles using keyword queries with Boolean operators or semantic AI search for natural language questions.
    MIT
  • Search within a specific legislation number using keyword Boolean operators or natural language semantic queries to find matching articles.
    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

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Matching MCP Connectors

  • The Graph MCP — indexed blockchain data via subgraph GraphQL queries

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

  • Route code search queries to different retrieval modes: lexical, semantic, hybrid, summary, or auto-route with feeling_lucky.
    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
  • Retrieve conceptually related code snippets by searching a local semantic vector index with natural language queries.
  • Compare coordinate reference systems (CRS) to evaluate datum, projection, accuracy, distortion, compatibility, and suitability for specific geographic applications.
    MIT
  • Search APL idioms using natural language queries to find expressions when exact keywords don't match. This tool understands semantic meaning in everyday language.
    MIT
  • Find relevant information in indexed files using semantic or hybrid search with natural language queries.
    MIT