Search an org dataset with natural-language queries to retrieve top content matches ranked by semantic similarity.
MIT
470,944 tools. Updated 2026-08-23 18:30
"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
- Create a semantic catalog to organize saved queries as queryable tables within a Peaka project. Groups semantic tables under a single namespace and returns the catalog ID.MIT
- Find skills that match your task description using semantic search, with fallback to keyword matching from GitHub.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
Matching MCP Servers
- AlicenseAqualityBmaintenanceEnables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.32BSD 2-Clause "Simplified"
- AlicenseAqualityDmaintenanceProvides semantic code search over codebases using local embeddings with natural language queries. Supports hybrid search, file watching, and respects .gitignore.115MIT
Matching MCP Connectors
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 the Segnals knowledge base using semantic search to find help articles, feature documentation, and trading guides.MIT
- Search documentation using semantic similarity. Pose natural language queries to find relevant docs, with optional filtering by doc slugs and source type.MIT
- Execute DAX queries against Power BI datasets to retrieve and analyze table data. Requires workspace and dataset IDs, and a query starting with EVALUATE.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
- Index all Apple Notes for semantic search. Run this first to enable full-text and semantic queries.MIT