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
基本情報
mcp server
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp_camstream_analizer": {
"command": "python",
"args": [
"main.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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