AI Video Check MCP server

AI Video Check — MCP server

Let Claude, Cursor or any MCP client check whether a video was generated by AI.

This server connects your AI assistant to AI Video Check, a detector for AI-generated video (Sora, Veo, Kling, MiniMax, HeyGen and others). Give it a link or a local file, and it returns the probability of AI generation with separate scores for the picture and the sound.

It is a thin layer over the public AI Video Check API: the same key, the same credits and the same results.

Tools

Every result tells the assistant how to read it: a probability, not proof. A low score means no signs of generation were found, not that the video is authentic. Editing, visual effects and face swaps on real footage are not detected.

Get a key

1. Sign in at aivideocheck.net and confirm your e-mail.
2. Open Dashboard → API and create a key. It is shown once.
3. Your first key comes with 20 free credits for the API.

Keep the key secret. Anyone holding it spends your credits. You can revoke a key on the same page; it stops working within a minute.

Connect: remote server (links)

The server runs at https://api.aivideocheck.net/mcp (Streamable HTTP). Your client sends the key in the Authorization header.

Claude Code

claude mcp add --transport http aivideocheck https://api.aivideocheck.net/mcp --header "Authorization: Bearer avc_live_..."

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "aivideocheck": {
      "url": "https://api.aivideocheck.net/mcp",
      "headers": { "Authorization": "Bearer avc_live_..." }
    }
  }
}

Any other client that supports Streamable HTTP with custom headers works the same way.

Connect: local server (links and files on your computer)

The local server runs on your machine and can also check video files from your disk. It uploads them to AI Video Check for analysis, exactly as the website does; files are deleted when the check ends.

git clone https://github.com/aivideocheck/aivideocheck-mcp
cd aivideocheck-mcp
python -m venv .venv
.venv/bin/pip install -r requirements.txt        # Windows: .venv\Scripts\pip

Then point your client at it, for example Claude Desktop (claudedesktopconfig.json):

{
  "mcpServers": {
    "aivideocheck": {
      "command": "/path/to/aivideocheck-mcp/.venv/bin/python",
      "args": ["/path/to/aivideocheck-mcp/avc_mcp.py"],
      "env": { "AVC_API_KEY": "avc_live_..." }
    }
  }
}

check_file sends only files that are named and built like a video container (MP4, MOV, WebM, MKV, AVI and similar). Anything else stays on your computer, so an instruction hidden in a web page cannot make your assistant upload, say, your SSH key.

Configuration

Development

.venv/bin/python tests/test_mcp.py

The test runs the server against a fake API on 127.0.0.1, over real HTTP and real stdio, with the MCP SDK's own client. It does not touch the live service.

Pricing and terms

Shortened. The full README is on GitHub.