Search for:

A search for information about Vetctorcode or related content

  • Why this server?

    This server facilitates interaction with Qdrant, a vector search engine, making it suitable for applications needing vector-based code search.

    A
    security
    A
    license
    A
    quality
    This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
    Last updated -
    2
    448
    Python
    Apache 2.0
  • Why this server?

    This server provides semantic search over local git repositories, which would be useful for searching code based on meaning rather than just keywords.

    -
    security
    A
    license
    -
    quality
    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 -
    TypeScript
    MIT License
    • Apple
  • Why this server?

    A local vector database system, this server offers efficient semantic search capabilities for software projects, making it relevant for finding code based on semantic similarity.

    -
    security
    A
    license
    -
    quality
    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 -
    Python
    MIT License
  • Why this server?

    This server helps large language models index, search, and analyze code repositories with minimal setup, making it useful for understanding codebase context.

    -
    security
    A
    license
    -
    quality
    A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup
    Last updated -
    9
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    This server is designed to dump codebase context into LLMs, potentially including vector representations for semantic understanding.

    -
    security
    A
    license
    -
    quality
    A Model Context Protocol (MCP) server designed to easily dump your codebase context into Large Language Models (LLMs).
    Last updated -
    0
    JavaScript
    Apache 2.0
  • Why this server?

    This server provides structured access to codebase content, which can help AI in understanding the logic behind the code.

    -
    security
    F
    license
    -
    quality
    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 -
    TypeScript
    • Linux
    • Apple
  • Why this server?

    Enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching, useful for understanding code context.

    -
    security
    A
    license
    -
    quality
    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 -
    45
    8
    JavaScript
    MIT License
    • Linux
    • Apple
  • Why this server?

    This server gives insights into monorepo projects, including dependencies, file relationships, and executable tasks, which can be valuable for analyzing codebases.

    -
    security
    A
    license
    -
    quality
    The Nx MCP server provides LLMs with comprehensive insights into your monorepo: project dependencies, file relationships, executable tasks, ownership metadata, technology stacks, custom generators, and Nx documentation. This deep context enables LLMs to produce code perfectly aligned with your archi
    Last updated -
    1,009
    1,340
    TypeScript
    MIT License
  • Why this server?

    This server efficiently memorizes key aspects of a codebase and allows dynamic updates and fast retrieval, useful for language-agnostic code analysis.

    -
    security
    A
    license
    -
    quality
    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 -
    Python
    MIT License
  • Why this server?

    This extracts Python code structures, focusing on import/export relationships between files, helping LLMs to understand code context.

    -
    security
    A
    license
    -
    quality
    A Model Context Protocol server that extracts and analyzes Python code structures, focusing on import/export relationships between files to help LLMs understand code context.
    Last updated -
    4
    Python
    MIT License