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.
What can you do with 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.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
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
Frequently asked questions
What is 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.
How do I install MCP Vms?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is MCP Vms open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains MCP Vms?
It is published by jyjune. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.