Codebase RAG MCP Server

Example Use Cases

• 1

  Semantically search and retrieve relevant code snippets from large codebases.

• 2

  Understand and navigate complex codebases using AI-driven retrieval-augmented generation.

• 3

  Multi-language support and high-performance indexing for code analysis.

Description

Codebase RAG MCP Server indexes local directories or GitHub repositories into a vector database, allowing Large Language Models to perform semantic searches and retrieve accurate code snippets. It features intelligent code chunking, two-stage retrieval with reranking for improved accuracy, and supports multiple programming languages. The server also offers high performance with incremental indexing and optional centralized logging for debugging.