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⇱ VectorCode: A search for information or tool related to vectors or coding | Glama


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VectorCode: A search for information or tool related to vectors or coding

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  • Why this server?

    This server implements a Model Context Protocol (MCP) server for Qdrant, a vector search engine, which aligns with the 'vector code' query.

  • Why this server?

    This server provides semantic search over local git repositories, enabling users to search code through vectorized code chunks.

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    An MCP server that provides semantic search over local git repositories, enabling users to clone repositories, process branches, and search code through vectorized code chunks.
    Last updated
    25
    MIT
  • Why this server?

    This server is a local vector database system that provides coding agents with fast, efficient semantic search capabilities for software projects.

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    A local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.
    Last updated
    7
    MIT
  • Why this server?

    This server allows AI tools like Claude Desktop to query databases via ODBC connections, allowing access, analysis, and insight generation from database data while maintaining security through read-only safeguards.

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    Allows LLM tools like Claude Desktop and Cursor AI to access and summarize code files through a Model Context Protocol server, providing structured access to codebase content without manual copying.
    Last updated
    6
  • Why this server?

    A Model Context Protocol (MCP) server designed to easily dump your codebase context into Large Language Models (LLMs).

  • Why this server?

    A Model Context Protocol server that helps large language models index, search, and analyze code repositories with minimal setup

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    A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup
    Last updated
    14
    967
    MIT
  • Why this server?

    A Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.

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    A Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.
    Last updated
    6
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    37
    MIT
  • Why this server?

    Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.

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    Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.
    Last updated
    11
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    21
    MIT
  • Why this server?

    SourceSage is an MCP (Model Context Protocol) server that efficiently memorizes key aspects of a codebase—logic, style, and standards—while allowing dynamic updates and fast retrieval. It's designed to be language-agnostic, leveraging the LLM's understanding of code across multiple languages.

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    SourceSage is an MCP (Model Context Protocol) server that efficiently memorizes key aspects of a codebase—logic, style, and standards—while allowing dynamic updates and fast retrieval. It's designed to be language-agnostic, leveraging the LLM's understanding of code across multiple languages.
    Last updated
    13
    7