MCP CamStream Analyzer

Name: MCP CamStream Analyzer
Author: l1b0k

@l1b0k

代码仓库

关于 MCP CamStream Analyzer

mcp server

#mcp-camstream #video-analysis #image-analysis

基本信息

分类

其他

许可证

Apache-2.0 license

运行时

python

传输方式

stdio

发布者

l1b0k

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp_camstream_analizer": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP CamStream Analyzer?

MCP CamStream Analyzer is a tool for collecting and analyzing content from cameras and RTSP video streams. It integrates with any OpenAI-compatible API to generate descriptions and analyses of images and video frames.

How to use MCP CamStream Analyzer?

Clone the repository, install dependencies with pip install -r requirements.txt, edit the auto-generated config.yaml (especially the api_key field), and run python main.py. The service then processes camera feeds according to the configured templates and video analysis settings.

Key features of MCP CamStream Analyzer

Image analysis using customizable description templates
Video analysis with frame-by-frame or full-video mode
Support for default, USB, and RTSP camera streams
Integration with any OpenAI-compatible API
Configurable frame interval and output directory
Built-in prompt templates (default, detailed, security)

Use cases of MCP CamStream Analyzer

Security monitoring with automated abnormality detection
Detailed scene and people analysis for surveillance footage
General-purpose image or video description for accessibility
Multi-camera environment monitoring (e.g., IP cameras)
Real-time event logging from RTSP streams

FAQ from MCP CamStream Analyzer

What dependencies are required?

Python packages listed in requirements.txt are required. The server also needs an API key for an OpenAI-compatible service.

How do I configure cameras?

The config.yaml file lists cameras as default (integer device index), webcam1 (another device index), or ip_camera1 (with rtsp_url, buffer_size). Modify the file to match your hardware.

What is the default video analysis mode?

The default mode is frames, with a frame_interval of 30. You can change it to full video analysis by setting mode: entire.

Does the server support authentication?

The README only mentions an api_key for the OpenAI-compatible API. No other authentication mechanisms are described.

Where is the output stored?

Analysis results are written to the directory specified in the output_dir field of config.yaml (default: output).

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