Vadyu AI Video Ad Studio
Generate commercial multi-shot AI product video ads from image URLs with coherence grading.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
claude mcp add --transport http vadyu-ai-video-ad-studio 'https://vadyu.com/api/mcp' --header 'Authorization: <Bearer vadyu_live_<API_KEY> from https://vadyu.com/dashboard>'
{
"mcpServers": {
"vadyu-ai-video-ad-studio": {
"type": "http",
"url": "https://vadyu.com/api/mcp",
"headers": {
"Authorization": "<Bearer vadyu_live_<API_KEY> from https://vadyu.com/dashboard>"
}
}
}
}
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Vadyu MCP Server (com.vadyu/vadyu)
Official Model Context Protocol (MCP) server for Vadyu AI Video Ad Studio — turn any product photo URL (image_url) or base64 image into commercial multi-beat video ads (9:16 TikTok/Reels, 4:5 Meta Feed, 1:1 Square, 16:9 YouTube) with automated product-label coherence grading.
- Official MCP Registry ID:
com.vadyu/vadyu - Remote Streamable HTTP Endpoint:
https://vadyu.com/api/mcp - API & MCP Documentation: https://vadyu.com/api-docs#mcp
- Get an API Key: https://vadyu.com/dashboard
Quick Setup
Option 1: Remote Streamable HTTP MCP (Cursor, Claude Code, Windsurf, VS Code)
No local installation required. Add https://vadyu.com/api/mcp directly to your MCP configuration:
{
"mcpServers": {
"vadyu": {
"url": "https://vadyu.com/api/mcp",
"headers": {
"Authorization": "Bearer vadyu_live_YOUR_API_KEY"
}
}
}
}
Option 2: Local stdio Bridge (Claude Desktop claude_desktop_config.json)
{
"mcpServers": {
"vadyu": {
"command": "sh",
"args": ["-c", "curl -fsSL https://vadyu.com/mcp/vadyu-mcp.mjs | node"],
"env": {
"VADYU_API_KEY": "vadyu_live_YOUR_API_KEY"
}
}
}
}
Or clone this repository and run node vadyu-mcp.mjs with VADYU_API_KEY set in your environment.
Available MCP Tools
| Tool Name | Description |
|---|---|
vadyu_generate_video_ad | Generate a single (5s) or multi-beat (10s–20s) commercial product video ad from image_url or image_base64, prompt, format (9:16, 1:1, 16:9, 4:5), sequence (problem-solution, ugc-testimonial, product-feature, unboxing, single), and variants (1–3). |
vadyu_get_video_status | Poll rendering progress (processing, done, failed), beat completion, coherence_score (0–100), and retrieve the signed MP4 video_url. |
vadyu_list_videos | List generated video ads in the authenticated account with status filtering and pagination. |
vadyu_get_account_quota | Check active subscription tier, remaining monthly render credits, and generation eligibility. |
vadyu_list_sequences_and_formats | Inspect all supported multi-beat ad storyboard templates and aspect ratio formats. |
License
MIT — see LICENSE.
Questions fréquentes
Qu'est-ce que Vadyu AI Video Ad Studio ?
Generate commercial multi-shot AI product video ads from image URLs with coherence grading.
Comment installer Vadyu AI Video Ad Studio ?
Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http vadyu-ai-video-ad-studio 'https://vadyu.com/api/mcp' --header 'Authorization: <Bearer vadyu_live_<API_KEY> from https://vadyu.com/dashboard>'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour Vadyu AI Video Ad Studio ?
Oui. Il attend Authorization, à renseigner dans sa configuration.
Vadyu AI Video Ad Studio est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient Vadyu AI Video Ad Studio ?
Il est publié par crawde. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.