Code Indexer

概要

Code Indexer is a code retrieval tool designed specifically for AI large language models. It uses vectorized indexing and semantic understanding to help AI better understand and analyze code repositories, significantly improving the efficiency and accuracy of code-related tasks. It supports intelligent code search, code analysis, optimized context handling, and complete MCP protocol support, enhancing AI's code understanding, optimizing development experiences, and enhancing team collaboration.

主な機能

• Code structure analysis, including classes, functions, and dependencies.
• Multi-project parallel indexing and retrieval.
• Semantic code search, understanding code meaning beyond keyword matching.
• Complete Model Context Protocol (MCP) support.
• Intelligent token consumption control to reduce unnecessary context information.

ユースケース

• Enhancing code understanding for AI models like Claude in desktop applications.
• Providing real-time code analysis within VSCode extensions.
• Assisting in code refactoring by identifying optimizable code patterns.