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The project uses local services (MCP server, embedding service, ChromaDB) that open ports (3000, 3001, 8000, 8001). While these are typically bound to localhost by default in Docker Compose, they represent local network exposure. The MCP server processes context from GitHub Copilot, which could include sensitive code, requiring a trusted execution environment. A Git `post-receive` hook automatically restarts Docker containers, which relies on the trustworthiness of the repository and could be a vector if untrusted code is introduced. No explicit 'eval' or obfuscation was identified, and the use of local ML models enhances data privacy by not sending content to external AI APIs.