CV_Robot_MCP
Verified Safeby OppaAI
Overview
Enables a robot to visually interpret its environment by sending real-time camera feeds to an external Vision-Language Model (VLM) for object recognition and scene description.
Installation
python cv_robot.pyEnvironment Variables
- HF_CV_ROBOT_TOKEN
Security Notes
Uses `dotenv` for secret management, which is good. Communication relies on a Hugging Face token. `ast.literal_eval` is used to parse VLM responses, which is generally safer than `eval()` as it restricts to Python literals, mitigating arbitrary code execution. The primary security risks involve properly securing the Hugging Face token and trusting the external VLM server for content generation.
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