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"A local vector-based search engine for personal documents" matching MCP servers:

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    A local MCP server that gives AI assistants a long-term memory by capturing sessions verbatim and surfacing relevant context automatically.
    15
    500
    MIT
  • F
    license
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    quality
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    maintenance
    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.
    1
  • F
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    quality
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    Enables searching documentation from GitHub repositories and web pages via MCP tools, with in-memory indexing and caching for fast retrieval.
  • A
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    Local-first realtime web research MCP for LM Studio with keyless SearXNG, clickable citations, adaptive deep research, provider health, and one-click Windows startup.
    MIT
  • A
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    quality
    B
    maintenance
    A shared, persistent MCP memory server for coding agents that enables storing and retrieving project decisions and context across different tools like Claude Code, Codex, and Cursor using semantic vector search.
    MIT
  • F
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    quality
    B
    maintenance
    Enables enterprise knowledge search through a chat interface, comparing traditional RAG with MCP-driven retrieval using hybrid BM25 and dense vector search, Ollama-powered answer generation, and question routing to domain-specific retrieval tools.
  • F
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    quality
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    Privacy-first MCP server for macOS that allows AI agents to search local images using natural language descriptions, leveraging MLX CLIP embeddings and LanceDB for fast, fully offline search.
    8
  • A
    license
    B
    quality
    C
    maintenance
    Exposes self-owned AI agent plugins as tools to Claude Code via a stdio MCP server, allowing Claude to call system info, calculator, or scribe transcriber directly.
    3
    MIT
  • A
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    quality
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    A secure vector-based memory server that provides persistent semantic memory for AI assistants using sqlite-vec and sentence-transformers. It enables semantic search and organization of coding experiences, solutions, and knowledge with features like auto-cleanup and deduplication.
    MIT
  • A
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    quality
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    maintenance
    A local-first file intelligence engine that indexes documents, code, and email on your machine using on-device models, and exposes that memory to any AI assistant over MCP for semantic search and structured fact retrieval.
    9
    Business Source 1.1