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Code Indexer

Createdzxfgds

Enables AI large language models with efficient and precise code repository retrieval using the Model Context Protocol.

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About

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.

Key Features

  • 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.

Use Cases

  • 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.