# Code retrieval

A system integrating the Qdrant vector database and MCP server for storing and retrieving code snippets, supporting natural language search and semantic retrieval.

Codebase MCP is a service that implements the Model Context Protocol (MCP), providing tools for retrieving and analyzing entire codebases through RepoMix, and supporting AI agents such as Cursor's Composer Agent to automatically read and understand large codebases.

A server that provides MCP services for gitingest, supporting fast retrieval of GitHub repository information, including repository summaries, directory structures, and file contents.

Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.

ctx-sys is a locally prioritized hybrid retrieval-augmented generation (RAG) tool designed for AI programming assistants. It analyzes the codebase through a tree parser, combines semantic vector search, keyword retrieval, and graph relationship traversal to provide in-depth project understanding for AI assistants. All operations are performed locally to protect code privacy.