Analyzes local codebases to extract signatures, docstrings, and generate documentation. Walks directory trees, processes code files, and optionally creates API references and dependency graphs for code understanding.
Extract code knowledge from local directories by analyzing files, extracting signatures and docstrings, and generating API references or dependency graphs.
An MCP server that enables AI agents to query specialized, domain-specific knowledge bases built using the LightRAG framework for enhanced retrieval-augmented generation. It allows for managing and searching knowledge graphs and vector embeddings to provide accurate, context-aware information during an AI assistant's reasoning process.
Transforms YouTube into a queryable knowledge source with search, video details, transcript analysis, and AI-powered tools for summaries, learning paths, and knowledge graphs. Features quota-aware API access with caching and optional OpenAI/Anthropic integration for advanced content analysis.
Provides a project memory bank and RAG context provider for enhanced code understanding and management through vector embeddings, integrated with RooCode and Cline.