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MCP CamStream Analyzer

by l1b0k

MCP CamStream Analyzer is a tool for collecting and analyzing content from cameras and RTSP video streams. It supports integration with any OpenAI-compatible API for detailed content analysis.

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What is MCP CamStream Analyzer?

MCP CamStream Analyzer is a tool designed to collect and analyze content from various camera sources, including system default cameras, USB cameras, and RTSP streams. It leverages OpenAI-compatible APIs to provide detailed analysis of the captured content.

How to use MCP CamStream Analyzer?

To use MCP CamStream Analyzer, first clone the repository and install the required dependencies using pip. Configure the config.yaml file with your API key and camera settings. Then, run the main.py script to start the service.

Key features of MCP CamStream Analyzer

  • Image Analysis with template-based descriptions

  • Video Analysis (frame-by-frame or entire video)

  • Multi-Camera Support (default, USB, RTSP)

  • Configurable prompt templates

  • Integration with OpenAI-compatible APIs

Use cases of MCP CamStream Analyzer

  • Security monitoring and anomaly detection

  • Automated scene analysis and description

  • Content analysis for video streams

  • Real-time event detection

  • Generating insights from camera feeds

FAQ from MCP CamStream Analyzer

What APIs are compatible with MCP CamStream Analyzer?

Any API that is compatible with OpenAI's API structure should work.

How do I configure the camera streams?

Camera streams are configured in the config.yaml file. You can specify the camera ID for default and USB cameras, or the RTSP URL for IP cameras.

What are prompt templates?

Prompt templates are predefined text prompts used to guide the analysis performed by the AI model. You can customize these templates in the config.yaml file.

How do I contribute to the project?

You can contribute by submitting issues or contributing code through pull requests on the GitHub repository.

Can I analyze video in real-time?

Yes, the tool supports real-time video analysis by processing frames at specified intervals.