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. - Retrieve video channel information, including connection and recording status. - Fetch recording dates and times for specific
Add this skill
npx mdskills install jyjune/mcp-vmsWell-documented MCP server providing useful CCTV/VMS integration with clear setup instructions and comprehensive features
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.

vmspy library (for VMS integration)Pillow library (for image processing)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"
]
}
}
}
The server uses the following default configuration for connecting to the VMS:
vms_config = {
'img_width': 320,
'img_height': 240,
'pixel_format': 'RGB',
'url': '127.0.0.1',
'port': 3300,
'access_id': 'admin',
'access_pw': 'admin',
}
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.
Download and install the VMS server from:
http://surveillance-logic.com/en/download.html
(Required before using this MCP server)
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
Install via CLI
npx mdskills install jyjune/mcp-vmsMCP Server - VMS Integration is a free, open-source AI agent skill. 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. - Retrieve video channel information, including connection and recording status. - Fetch recording dates and times for specific
Install MCP Server - VMS Integration with a single command:
npx mdskills install jyjune/mcp-vmsThis downloads the skill files into your project and your AI agent picks them up automatically.
MCP Server - VMS Integration works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Gemini Cli, Amp, Roo Code, Goose. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.