MCP Vms MCP Server

A Model Context Protocol (MCP) server designed to connect to a CCTV recording program (VMS) to retrieve recorded and live video streams. It also

Local serverstdioPython

What is the MCP Vms MCP server?

Most developer tooling work still happens through a UI a human drives. MCP Vms MCP server moves it into the conversation instead. 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.

The short version

  • 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

Getting it running

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

What it needs from you

  • Python 3.12+ - vmspy library (for VMS integration) - Pillow library (for image processing)

How it compares

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by jyjune; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against MCP Vms's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How to install the MCP Vms MCP server

{
  "mcpServers": {
	"vms": {
	  "command": "uv",
	  "args": [
		"--directory",
		"X:\\path\\to\\mcp-vms",
		"run",
		"mcp_vms.py"
	  ]
	}
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python 3.12+ - vmspy library (for VMS integration) - Pillow library (for image processing)

Frequently asked questions

It connects MCP Vms to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with MCP Vms directly.