AI Video Check

net.aivideocheckv1.0.0更新于 Oct 1, 2026

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

已验证Streamable HTTP可网页运行AI & MLMedia & Design

概览

AI 生成的概览

让助手把视频链接或本地文件提交给 AI Video Check，获得该视频由 AI 生成的概率评分。

功能
把 MCP 客户端连接到 AI Video Check 检测服务。check_video 工具接收公开链接（TikTok、Instagram、X、YouTube、Facebook 或直接文件 URL），返回 AI 生成概率，并分别给出画面与声音的评分；本地模式下 check_file 可检测用户电脑上的视频文件。get_check 可获取此前的结果（保留 24 小时），get_balance 显示剩余额度和密钥限制。
适用场景
适合助手需要判断某段视频是否可能由 AI 生成的场景，例如查看社交媒体片段或用户提交的媒体内容。结果是概率而非证据，真实素材上的剪辑、视觉特效或换脸不会被识别。
运行要求
需要远程 Streamable HTTP 端点 Python 服务器。需要 AI Video Check 账号和 API 密钥：远程模式通过 Authorization 请求头以 Bearer 令牌发送，本地模式通过 AVC_API_KEY 环境变量提供。需要网络访问，检测会消耗额度。
安装前请注意
API 密钥属于机密：持有者可消耗账户额度，可在控制台撤销。每次检测按视频已开始的分钟数计费，每分钟 1 个额度，会产生实际费用。本地模式下 check_file 会把所选视频文件上传到 AI Video Check 分析，检测结束后文件会被删除。

安装

在 SourceWeft 中

  1. 打开 控制台中的 AI Video Check，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "mcp": {
      "type": "http",
      "url": "https://api.aivideocheck.net/mcp"
    }
  }
}

README

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

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

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

Cursor (~/.cursor/mcp.json)

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.

bash
git clone https://github.com/aivideocheck/aivideocheck-mcpcd aivideocheck-mcppython -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):

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

bash
.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.

来源：README.md，提交 0e05054

工具

0
工具元数据尚未被收录。

版本历史

1
  1. v1.0.0最新Oct 1, 2026