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260,522 tools. Last updated 2026-07-05 07:02

"A server for searching and retrieving information using keyword, semantic, or hybrid search methods" matching MCP tools:

  • Search across your Obsidian vaults using hybrid, semantic, or keyword modes to retrieve context, notes, and past decisions.
    Apache 2.0
  • Hybrid search combining keyword and semantic matching to find Obsidian vault notes, even when query terms differ from note content. Filter by metadata for precise results.
    MIT
  • Search your personal memory layers by combining vector similarity with keyword matching to retrieve relevant episodic, semantic, and procedural memories.
    AGPL 3.0
  • Find relevant information from your PDF knowledge base using semantic search. Retrieve cited excerpts from indexed documents by combining multiple databases.
    AGPL 3.0

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  • Search PubMed and summarize biomedical literature — designed for AI health agents.

  • Search the web, images, videos, news, and local businesses with robust filters, freshness controls…

  • Search indexed datasets by keyword or meaning to find specific documents without reprocessing files. Supports structured, semantic, and hybrid modes with optional filters.
    MIT
  • Retrieve stored information from long-term memory using semantic meaning, keywords, or both to provide context about topics when users ask questions.
    MIT
  • Get related keyword suggestions with search volume and competition data from a seed keyword. Expand keyword research with long-tail variations and new cluster candidates.
    MIT
  • 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 prior decisions and past sessions using hybrid vector and keyword search. Retrieve ranked results from your capsule library with titles, summaries, tags, and scores.
    MIT
  • Find relevant documentation chunks from a repository by searching indexed docs with semantic or keyword search. Returns results with file paths for direct reading.
    MIT
  • Search across project knowledge (instructions, runbooks, session docs) using hybrid keyword and semantic search. Returns relevant chunks with source file, section, and line numbers.
    Business Source 1.1
  • Find relevant information from curated skills and documents using natural language queries. Semantic search leverages vector embeddings for more accurate results than keyword search.
    MIT
  • Search code skeletons using natural language queries to find methods, classes, and namespaces ranked by semantic similarity. Filter results by project, file path, or code unit type.
    MIT
  • Recall relevant memories from an AI agent's storage using hybrid search (vector + FTS5 + keyword).
    MIT
  • Search for LPM packages using natural language or structured filters. Find packages by category, ecosystem, distribution, license, and more.
    ISC
  • Search daily memory files on the OpenClaw server for a keyword. Customize the search range up to 90 days (default: last 14 days).
    Apache 2.0