What dependencies are required?
Python packages listed in `requirements.txt` are required. The server also needs an API key for an OpenAI-compatible service.
@l1b0k
基本信息
mcp server
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"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
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.
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.
Python packages listed in `requirements.txt` are required. The server also needs an API key for an OpenAI-compatible service.
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.
The default mode is `frames`, with a `frame_interval` of 30. You can change it to full video analysis by setting `mode: entire`.
The README only mentions an `api_key` for the OpenAI-compatible API. No other authentication mechanisms are described.
Analysis results are written to the directory specified in the `output_dir` field of `config.yaml` (default: `output`).

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