Analyzes code using tree-sitter to provide context-aware code understanding for AI assistants.
Sponsored
This tool serves as a Model Context Protocol (MCP) server, leveraging tree-sitter to empower AI assistants like Claude with intelligent access to codebases. It provides code analysis capabilities, offering flexible code exploration at various levels of granularity while ensuring appropriate context management to avoid overwhelming the AI's context window. By utilizing Abstract Syntax Trees (ASTs), the server enables structure-aware code understanding, efficient traversal, and powerful search capabilities through text and tree-sitter queries. Features like caching, symbol extraction, and dependency analysis enhance performance and provide valuable insights into code relationships.
Características Principales
01Enables structure-aware code understanding using ASTs
02Caches parse trees for optimized performance
03Offers powerful code search capabilities
04Supports many programming languages via tree-sitter
05Provides context management for AI assistants
Casos de Uso
01Enabling context-aware code search and exploration
02Enhancing code understanding for AI assistants like Claude
03Performing code analysis tasks such as symbol extraction and dependency analysis
