About AI Video Check
AI Video Check is a video-generation detector for AI assistants and MCP clients, accepting public links or local video files. It returns separate image and audio probabilities as indicators, not proof of authenticity.
Key features
- 01Check videos from public links
- 02Check local video files
- 03Return separate image and audio scores
- 04Retrieve earlier check results
- 05View API balance and limits
Use cases
- 01Review videos found on social platforms
- 02Check videos stored locally
- 03Retrieve results from earlier checks
MCP support
It offers a remote Streamable HTTP MCP server and a local server for checking files on the machine. MCP clients can call tools for video checks, result retrieval, and balance information.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.aivideocheck.net/mcpclaude mcp add --transport http net-aivideocheck https://api.aivideocheck.net/mcp{"mcpServers":{"net-aivideocheck":{"type":"http","url":"https://api.aivideocheck.net/mcp"}}}Open in Cursor{"servers":{"net-aivideocheck":{"type":"http","url":"https://api.aivideocheck.net/mcp"}}}Open in VS Code{"mcpServers":{"net-aivideocheck":{"type":"http","url":"https://api.aivideocheck.net/mcp"}}}{"mcpServers":{"net-aivideocheck":{"serverUrl":"https://api.aivideocheck.net/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://api.aivideocheck.net/mcpAuth requiredTools
3| Parameter | Type | Required | Description |
|---|---|---|---|
| url | string | Yes |
Details
From the project READMEAI 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
| Tool | What it does | Cost |
|---|---|---|
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
- Sign in at aivideocheck.net and confirm your e-mail.
- Open Dashboard → API and create a key. It is shown once.
- 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
| Variable | Default | Meaning |
|---|---|---|
AVC_API_KEY | — | Your key. Read in local mode only; the remote server never uses a key from its own environment. |
AVC_API_BASE | https://api.aivideocheck.net | API address. |
AVC_MCP_WAIT_S | 55 | How 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: [email protected]
License
MIT — see LICENSE.
Comments
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