trackmcp
Back to directory

MCP server for controlling and accessing a video surveillance system

11 stars PythonServers & Infrastructure Updated Oct 19, 2025

Documentation

MseeP.ai Security Assessment Badge
Trust Score

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.

diagram

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+
  • `vmspy` library (for VMS integration)
  • `Pillow` library (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:

json
{
  "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`:

shell
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:

shell
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
Verified on MseeP

Frequently asked questions

What is mcp_vms?

mcp_vms is MCP server for controlling and accessing a video surveillance system

How do I install mcp_vms?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is mcp_vms open source?

Yes — it is hosted on GitHub at https://github.com/jyjune/mcp_vms and has 11 stars.

Related MCP tools

Run your own MCP server? See who uses it and what to fix.

Measure it with TrackMCP