Packs a Git repository into a single AI-friendly file for easy ingestion by LLMs. Offers per-file and total token counts, optional Tree-sitter compression, secret scanning, and multiple interfaces (CLI, web, browser extension, Docker, MCP) for AI-driven code review and analysis.
Implements the Model Context Protocol (MCP) in Python so you can build MCP servers and clients that expose resources, tools, and prompts to LLMs. Supports stdio/SSE/streamable-HTTP transports, structured output, and OAuth flows — useful when you need standardized, auditable LLM access to app data and actions.
