mcp-code-indexer
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The MCP Code Indexer is a sophisticated tool designed to enhance AI language models' ability to retrieve and understand code libraries. It features semantic code search, cross-language support, and comprehensive code analysis, ensuring efficient and precise handling of code-related tasks.
MCP Code Indexer
An intelligent code retrieval tool based on the Model Context Protocol designed to enhance code understanding and analysis through semantic indexing. It offers features such as:
- Intelligent Code Search: Semantic-based cross-language code retrieval, code snippet extraction.
- Code Analysis Capabilities: Code structure analysis, quality assessment, documentation extraction, and dependency analysis.
- Optimized Context Handling: Smart token consumption control, structured context, and multi-project indexing.
- Full MCP Protocol Support: Conforms to MCP data interaction standards, supporting asynchronous operations and feedback.
Application Scenarios
Claude Desktop
- Enhanced Understanding: Improves code comprehension and suggestion accuracy.
- Navigation and Quality Improvement: Fast location of code snippets and code optimization suggestions.
VSCode Extension
- Real-Time Analysis: Direct access to results within the editor.
- Recommendations and Refactoring: Code suggestion based on context and identifying optimization patterns.