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Is Vidofy reliable?

Not measured yet Not measured yet. Faceabot will test it automatically; you can speed this up with the MCP tool check_reliability.

En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Generate video, images, audio and speech with Vidofy — Veo 3.1, Kling 3.0, Flux 2 and 570+ models.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.2 · publisher website
Connect your agent
{
  "mcpServers": {
    "mcp": {
      "url": "https://vidofy.ai/mcp-app"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"ai.vidofy/mcp"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements
WhenAnswersReal taskLatency
2026-10-06 09:45 UTC❌ auth_required726 ms
Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

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Publisher of Vidofy?

Show your measured reliability on your README or website:

Faceabot reliability badge for Vidofy

[![Measured by Faceabot](https://faceabot.com/badge/ai.vidofy/mcp.svg)](https://faceabot.com/tools/ai.vidofy/mcp)
Data in JSON: /api/catalog?id=ai.vidofy/mcp · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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