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A local vector-based search engine for personal documents

  • Why this server?

    Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context

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    security
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    license
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    quality
    An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
    Last updated -
    7
    62
    81
    TypeScript
    MIT License
  • Why this server?

    Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.

    -
    security
    A
    license
    -
    quality
    Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
    Last updated -
    62
    TypeScript
    MIT License
    • Apple
  • Why this server?

    Enables AI assistants to enhance their responses with relevant documentation through a semantic vector search, offering tools for managing and processing documentation efficiently.

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    security
    F
    license
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    quality
    Enables AI assistants to enhance their responses with relevant documentation through a semantic vector search, offering tools for managing and processing documentation efficiently.
    Last updated -
    62
    13
    TypeScript
  • Why this server?

    A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.

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    security
    A
    license
    -
    quality
    A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.
    Last updated -
    14
    74
    JavaScript
    Apache 2.0
    • Apple
  • Why this server?

    A very simple vector store that provides capability to watch a list of directories, and automatically index all the markdown, html and text files in the directory to a vector store to enhance context.

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    security
    A
    license
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    quality
    A very simple vector store that provides capability to watch a list of directories, and automatically index all the markdown, html and text files in the directory to a vector store to enhance context.
    Last updated -
    123
    16
    TypeScript
    MIT License
  • Why this server?

    Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.

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    quality
    Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
    Last updated -
    3
    15
    17
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants. All knowledge is stored in standard Markdown files on your computer, giving you full control and ownership of your data. Integrates directly with Obsidan.md

    A
    security
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    license
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    quality
    Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants. All knowledge is stored in standard Markdown files on your computer, giving you full control and ownership of your data. Integrates directly with Obsidan.md
    Last updated -
    9
    527
    Python
    AGPL 3.0
    • Apple
  • Why this server?

    A Python-based local indexing server that creates semantic search capabilities for codebases using ChromaDB, allowing Cursor IDE to perform vector searches on your code without sending data to external services.

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    security
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    A Python-based local indexing server that creates semantic search capabilities for codebases using ChromaDB, allowing Cursor IDE to perform vector searches on your code without sending data to external services.
    Last updated -
    5
    Python
  • Why this server?

    An open-source platform for Retrieval-Augmented Generation (RAG). Upload documents and query them ⚡

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    security
    A
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    quality
    An open-source platform for Retrieval-Augmented Generation (RAG). Upload documents and query them ⚡
    Last updated -
    1
    169
    JavaScript
    MIT License
  • Why this server?

    A Model Context Protocol (MCP) server that enables LLMs to interact directly the documents that they have on-disk through agentic RAG and hybrid search in LanceDB. Ask LLMs questions about the dataset as a whole or about specific documents.

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    security
    A
    license
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    quality
    A Model Context Protocol (MCP) server that enables LLMs to interact directly the documents that they have on-disk through agentic RAG and hybrid search in LanceDB. Ask LLMs questions about the dataset as a whole or about specific documents.
    Last updated -
    12
    31
    TypeScript
    MIT License
    • Apple