Intelligently analyzes codebases to enhance LLM prompts with relevant context, featuring adaptive context management and task detection to produce higher quality AI responses.
Provides intelligent code context and analysis through semantic compression, AST parsing, and multi-language support. Offers 60-80% token reduction while enabling AI assistants to understand codebases through local analysis, OpenAI-enhanced insights, and GitHub repository integration.
Enables comprehensive codebase analysis using Google's Gemini AI through CLI integration. Provides architectural reviews and targeted code analysis with code2prompt integration for efficient context extraction.
Provides intelligent code context management and semantic search capabilities for software development, enabling natural language queries to find relevant code snippets, functions, and classes across Python, JavaScript, TypeScript, and SQL codebases.
Context intelligence for AI coding sessions. 7 MCP tools to score, compare, compress, build, and scan prompts across 9 AI tools. Rule-based, <5ms/prompt, all analysis runs locally.