"Understanding Vector Search" matching MCP servers:

• cowork-semantic-search

  ZhuBit

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  Local offline semantic search over documents (txt, md, pdf, docx, pptx, csv). Indexes folders into a LanceDB vector database with multilingual embeddings and supports hybrid vector + keyword search via Reciprocal Rank Fusion. No API keys, no cloud, no Docker required.

  Last updated 3 days ago

  6

  AGPL 3.0

• Local Search MCP Server

  PatrickRuddiman

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  security

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  Enables semantic search across indexed documents using vector embeddings. Index GitHub repositories and URLs to perform natural language queries with AI-enhanced contextual results.

  Last updated 4 months ago

  7

  MIT

• Conversation Search MCP Server

  cordlesssteve

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  Enables comprehensive search and analysis of Claude Code conversation history using full-text search, optional semantic vector search, and conversation management tools. Provides fast SQLite-based indexing with role-based filtering, project organization, and hybrid search capabilities combining keyword and semantic matching.

  Last updated 6 months ago

• X Search MCP

  konarkm

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  Enables searching X (formerly Twitter) using xAI's Responses API with support for filtering by handles, date ranges, and media understanding, returning structured results with citations.

  Last updated 3 months ago

  1

  1

  MIT

• Personal Semantic Search MCP

  Ethan2298

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  security

  F

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  Enables semantic search over local notes and documents using natural language queries. Supports multiple file types (Markdown, Python, HTML, JSON, CSV, text) with fast local embeddings and persistent ChromaDB vector storage.

  Last updated 3 months ago

  1

• Code Search MCP Server

  raintear94

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  High-performance code understanding toolkit that enables batch reading of multiple files with dependency context, structural outline extraction with Java annotation awareness, and precise location of classes/methods across large codebases.

  Last updated 3 months ago

  3

  11

  MIT