AI Video Check

MCP serverMedia

Check whether a video was generated by AI (Sora, Veo, Kling, HeyGen and others).

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use AI Video Check to check video

Install AI Video Check

The server’s own address, for the clients that take one directly. Or connect ahel once and every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user ai-video-check 'https://api.aivideocheck.net/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://api.aivideocheck.net/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=ai-video-check&config=eyJ1cmwiOiJodHRwczovL2FwaS5haXZpZGVvY2hlY2submV0L21jcCJ9

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://api.aivideocheck.net/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add ai-video-check --url 'https://api.aivideocheck.net/mcp'

    Run it once, then sign in with codex mcp login ai-video-check if the server asks for an account.

From the project's README

As published by aivideocheck/aivideocheck-mcp in README.md.

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

ToolWhat it doesCost
check_video(url)Checks the video at a public link (TikTok, Instagram, X, YouTube, Facebook or a direct file URL). Waits up to about a minute for the result.1 credit per started minute of video
get_check(check_id)Returns the result of an earlier check. Results are kept for 24 hours.free
get_balance()Shows the remaining credits and the limits of your key.free
check_file(path)Checks a video file on your own computer. Local mode only.1 credit per started minute of video

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 (claude_desktop_config.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

VariableDefaultMeaning
AVC_API_KEY—Your key. Read in local mode only; the remote server never uses a key from its own environment.
AVC_API_BASEhttps://api.aivideocheck.netAPI address.
AVC_MCP_WAIT_S55How long check_video waits for a result before returning the check id.

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

Checks spend the same credits as the website: one credit per started minute of video. Prices are on the developer page. Use of the API is governed by the Terms of Service and the Privacy Policy.

Questions: support@aivideocheck.net

License

MIT — see LICENSE.

Tools it offers (3)

What this server listed when ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.

  • check_video
  • get_check
  • get_balance

Signals

Last commit
Oct 2026
Advanced
Delivery
AI Video Check MCP server → your ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
net-aivideocheck-mcp
Source
github.com/aivideocheck/aivideocheck-mcp
Hosted endpoint
https://api.aivideocheck.net/mcp