jyjune/mcp_vms

Overview

An MCP server that provides a standardized interface for controlling and accessing video surveillance systems. It allows developers to interact with surveillance feeds and camera controls through the Model Context Protocol, enabling integration with AI agents and automation tools.

Best for

Best for
Developers building MCP-integrated automation or AI agents for video surveillance systems

Use cases

• Building AI agents that can query live surveillance feeds
• Triggering camera actions from automated workflows
• Integrating video surveillance data into MCP-compatible applications

How to use

Install

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Tools exposed

• uv

Tested with

Claude Desktop

Example client config

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

Notes

An MCP server that provides a standardized interface for controlling and accessing video surveillance systems. It allows developers to interact with surveillance feeds and camera controls through the Model Context Protocol, enabling integration with AI agents and automation tools.

13 stars on GitHub. Last updated 2026-03-27. Licensed MIT.

Use cases

• Building AI agents that can query live surveillance feeds
• Triggering camera actions from automated workflows
• Integrating video surveillance data into MCP-compatible applications

Pros

• Leverages the MCP standard for tool interoperability
• Written in Python, easy to extend or modify
• Focused on a specific practical domain (surveillance)

Cons

• Low community adoption (13 stars) indicates limited testing or support
• Requires an MCP client to be useful, adding dependency
• Scope may be narrow for general-purpose use beyond surveillance

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.