Enhance codebase understanding by integrating YAGO knowledge graph data and Schema.org semantic annotations to provide contextual insights about project structure and relationships.
Analyze codebase structure, tech stack, and patterns to gain insights for project optimization and architecture understanding. Specify path, depth, and exclusions for detailed results.
Analyze directory structures to generate markdown trees with file and folder counts for codebase understanding, issue identification, and technical debt assessment.
A Model Context Protocol server that enables AI agents to retrieve and understand entire codebases at once, providing tools to analyze local workspaces or remote GitHub repositories.