MCP Vms
Retrieve live and recorded video from a CCTV recording program (VMS) and control it, such as opening live or playback dialogs for specific channels and times.
Que pouvez-vous faire avec MCP Vms ?
- Retrieve video channel information, including connection and recording status.
- Fetch recording dates and times for specific channels.
- Fetch live or recorded images from video channels.
- Show live video streams or playback dialogs for specific channels and timestamps.
- Control PTZ (Pan-Tilt-Zoom) cameras by moving them to preset positions.
- Comprehensive error handling and logging.
Installation
Les étapes d'installation sont dans la documentation ci-dessous. Documentation
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
MCP Server - VMS Integration
A Model Context Protocol (MCP) server designed to connect to a CCTV recording program (VMS) to retrieve recorded and live video streams. It also provides tools to control the VMS software, such as showing live or playback dialogs for specific channels at specified times.
Features
- Retrieve video channel information, including connection and recording status.
- Fetch recording dates and times for specific channels.
- Fetch live or recorded images from video channels.
- Show live video streams or playback dialogs for specific channels and timestamps.
- Control PTZ (Pan-Tilt-Zoom) cameras by moving them to preset positions.
- Comprehensive error handling and logging.
Prerequisites
- Python 3.12+
vmspylibrary (for VMS integration)Pillowlibrary (for image processing)
MCP-server Configuration
If you want to use mcp-vms with Claude desktop, you need to set up the claude_desktop_config.json file as follows:
{
"mcpServers": {
"vms": {
"command": "uv",
"args": [
"--directory",
"X:\\path\\to\\mcp-vms",
"run",
"mcp_vms.py"
]
}
}
}
VMS Connection Configuration
The server uses the following default configuration for connecting to the VMS:
- mcp_vms_config.py
python vms_config = { 'img_width': 320, 'img_height': 240, 'pixel_format': 'RGB', 'url': '127.0.0.1', 'port': 3300, 'access_id': 'admin', 'access_pw': 'admin', }
Installation
1. Install UV Package Manager
Run the following command in PowerShell to install UV:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
For alternative installation methods, see the official UV documentation.
2.Install VMS Server
Download and install the VMS server from:
http://surveillance-logic.com/en/download.html
(Required before using this MCP server)
3.Install Python Dependencies
Download the vmspy library:
vmspy1.4-python3.12-x64.zip
Extract the contents into your mcp_vms directory
The mcp-vms directory should look like this:
mcp-vms/
├── .gitignore
├── .python-version
├── LICENSE
├── README.md
├── pyproject.toml
├── uv.lock
├── mcp_vms.py # Main server implementation
├── mcp_vms_config.py # VMS connection configuration
├── vmspy.pyd # VMS Python library
├── avcodec-61.dll # FFmpeg libraries
├── avutil-59.dll
├── swresample-5.dll
├── swscale-8.dll
Questions fréquentes
Qu'est-ce que MCP Vms ?
Retrieve live and recorded video from a CCTV recording program (VMS) and control it, such as opening live or playback dialogs for specific channels and times.
Comment installer MCP Vms ?
Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.
MCP Vms est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient MCP Vms ?
Il est publié par jyjune. AI.tn le référence sans le maintenir ni le recommander.
Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.