Videocapture MCP Server

Video Still Capture MCP is a Python implementation of the Model Context Protocol (MCP) that provides AI assistants with the ability to access and control webcams and video sources through OpenCV. This server exposes a set of tools that. Exposed over MCP by the videocapture mcp mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.

What it actually does

• Quick Image Capture — Capture a single image from a webcam without managing connections
• Connection Management — Open, manage, and close camera connections
• Video Properties — Read and adjust camera settings like brightness, contrast, and resolution
• Image Processing — Basic image transformations like horizontal flipping

Adding it to your client

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.

Its toolset

Everything the assistant can do here goes through one of these:

• Prerequisites — The Prerequisites tool exposed by this server
• Windows — Ensure you replace C:\ABSOLUTE_PATH\videocapture-mcp with the project's absolute path
• quick_capture — Quickly open a camera, capture a single frame, and close it
• open_camera — The open_camera tool exposed by this server
• capture_frame — The capture_frame tool exposed by this server
• get_video_properties — The get_video_properties tool exposed by this server
• set_video_property — The set_video_property tool exposed by this server
• close_connection — The close_connection tool exposed by this server
• list_active_connections — The list_active_connections tool exposed by this server

Configuration

You will need one environment variable: ABSOLUTE_PATH. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

• Python 3.10+ - OpenCV (opencv-python) - MCP Python SDK - UV (optional)

Caveats

• 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.
• With 9 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Videocapture MCP.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the videocapture mcp mcp server does with a few real requests.

When to reach for it

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Videocapture MCP's toolset — Prerequisites, Windows, quick_capture and 6 more — is a fair guide to whether it matches your workflow. It is maintained by 13rac1; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.