MCP-SERVER
Verified Safeby Avidan87
Overview
Estimates food portion sizes from images using depth estimation for a KAI agent, focusing on Nigerian cuisine.
Installation
python start_server.pyEnvironment Variables
- PORT
- PYTHONUNBUFFERED
Security Notes
The server uses standard practices for FastAPI and ML model loading. `subprocess.run` is used in the startup script but with well-defined, non-user-controlled arguments. CORS is set to `allow_origins=["*"]`, which is broad but common for internal microservices; for a publicly exposed API, this might be overly permissive depending on the specific threat model. No hardcoded secrets or 'eval' statements were found.
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