AI Video Check

net.aivideocheckv1.0.0更新於 Oct 1, 2026

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

已驗證Streamable HTTP可網頁執行AI & MLMedia & Design

概覽

AI 產生的概覽

讓助理把影片連結或本機檔案提交給 AI Video Check，取得該影片由 AI 生成的概率評分。

功能
把 MCP 用戶端連接到 AI Video Check 偵測服務。check_video 工具接收公開連結（TikTok、Instagram、X、YouTube、Facebook 或直接檔案 URL），回傳 AI 生成概率，並分別給出畫面與聲音的評分；本機模式下 check_file 可檢測使用者電腦上的影片檔案。get_check 可取得先前的結果（保留 24 小時），get_balance 顯示剩餘額度與金鑰限制。
適用情境
適合助理需要判斷某段影片是否可能由 AI 生成的場合，例如檢視社群媒體短片或使用者提交的媒體內容。結果是概率而非證據，真實素材上的剪輯、視覺特效或換臉不會被辨識出來。
執行需求
需要遠端 Streamable HTTP 端點 Python 伺服器。需要 AI Video Check 帳號與 API 金鑰：遠端模式透過 Authorization 標頭以 Bearer 權杖傳送，本機模式透過 AVC_API_KEY 環境變數提供。需要網路存取，檢測會消耗額度。
安裝前請注意
API 金鑰屬於機密：持有者可消耗帳戶額度，可在儀表板撤銷。每次檢測依影片已開始的分鐘數計費，每分鐘 1 個額度，會產生實際費用。本機模式下 check_file 會把所選影片檔案上傳到 AI Video Check 分析，檢測結束後檔案會被刪除。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 AI Video Check，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "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.

來源：README.md，提交 0e05054

工具

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版本歷史

1
  1. v1.0.0最新Oct 1, 2026