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510,037 tools. Updated 2026-09-03 18:53

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

  • Search across knowledge collections using hybrid, semantic, or keyword modes. Apply filters to refine results by collection, evidence tier, or date.
    MIT
  • Search a codebase using keyword, semantic, or hybrid queries to find relevant code chunks with file paths, line numbers, and relevance scores.
    MIT
  • Search your Obsidian vaults using semantic meaning, keyword matching, or hybrid mode to retrieve past decisions, notes, and research context.
    Apache 2.0
  • Search stored knowledge containers using semantic, keyword, or hybrid modes. Retrieve ranked document chunks with scores to answer questions from isolated knowledge bases.
    MIT
  • Search and retrieve stored memories using keyword, semantic, or hybrid modes. Filter results by tags, time range, or importance to find relevant information quickly.
    MIT

Matching MCP Servers

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    A Model Context Protocol server that enables keyword search within files, returning matching lines with line numbers.
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Matching MCP Connectors

  • Best Keyword Research API: This Keyword Tool API Find millions of keyword suggestions for your SEO..

  • Web search for AI agents. Ranked results with page passages already extracted, plus URL to markdown.

  • Search a knowledge bundle using natural language queries. Returns ranked concepts with scores and snippets, supporting hybrid, keyword-only, or semantic-only modes.
    Apache 2.0
  • Search a shared Markdown memory using hybrid keyword and semantic retrieval to locate relevant context for coding tasks.
    MIT
  • Retrieve relevant information from a synchronized mailbox knowledge corpus using keyword, semantic, or hybrid search modes to quickly locate answers without manually scanning full email archives.
    MIT
  • Find notes using hybrid keyword and semantic search, even when exact words differ; narrow results by folder, tags, type, properties, or dates.
    MIT
  • Retrieve the most relevant documents from an OpenSolr index using hybrid, semantic, or lexical search modes. Filter results, adjust relevance balance, and apply recency bias for fresh results.
    MIT
  • Find code by concept, behavior, or description instead of exact names. Returns function/class locations with file paths and line numbers via hybrid semantic and keyword search.
    MIT
  • Locate documents or records across indexed datasets using keyword or semantic search. Filter by document type, language, or quality, and choose structured, semantic, or hybrid modes.
    MIT
  • Search your LINE message history using hybrid keyword and semantic matching. Automatically indexes conversations when available and returns accurate results or an honest notice when none exist.
    MIT
  • Find relevant passages across local documents with hybrid keyword and semantic search. Returns ranked results with file paths and scores, and can be narrowed to specific folders.
    MIT