AI Video Check MCP MCP server

This official MCP server allows AI agents to verify whether videos were generated by AI models like Sora, Veo, or Kling. It provides tools to check video files or URLs, retrieve check results, and monitor API credit balances, leveraging the vendor's detection technology.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by AI Video Check

MCP endpoint (Streamable HTTP)

https://api.aivideocheck.net/mcp

Vendor documentation

What you can do with it

Check if a video URL was generated by AI
Verify local video files for AI generation
Retrieve status and results of previous checks
Monitor remaining API credits

Tools advertised by the last live check:

check_video
get_check
get_balance

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

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

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

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

Cursor

Merge this server into .cursor/mcp.json in your project, then enable ai-video-check-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "ai-video-check-mcp": {
      "url": "https://api.aivideocheck.net/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "ai-video-check-mcp": {
      "type": "streamableHttp",
      "url": "https://api.aivideocheck.net/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start ai-video-check-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "ai-video-check-mcp": {
      "type": "http",
      "url": "https://api.aivideocheck.net/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http ai-video-check-mcp https://api.aivideocheck.net/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "ai-video-check-mcp": {
      "url": "https://api.aivideocheck.net/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "ai-video-check-mcp": {
      "serverUrl": "https://api.aivideocheck.net/mcp"
    }
  }
}

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