Screenify Studio
Record your screen and export studio-styled demo videos on macOS, driven by your AI assistant.
Que pouvez-vous faire avec Screenify Studio ?
- record a screen, window, area, simulator or a web page
- style the export — wallpapers, device mockups, photo mockups, auto-zoom, cinematic effects
- add camera moves and effects to the moments that matter
- add animated titles — and keep the ones you made in the app when exporting
- open a video or image you already have and style that instead
- export to mp4, mov, gif or webp, with platform presets
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 »).
https://github.com/ScreenifyStudio/screenify-mcp/releases/download/v2.2.1/screenify.mcpbDocumentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Screenify Studio — MCP server
Every other screen-related MCP server lets an AI look at your screen. This one lets it make a video.
Ask Claude, Claude Code or Cursor for a demo and get back a finished file — recorded, styled and exported. No terminal, no flags, no editor.
"Record a 12-second demo of my landing page and put it on a café desk mockup."
Everything runs locally on your Mac. Nothing is uploaded.
https://github.com/user-attachments/assets/8c753dcb-0e53-4c00-acd6-0cd934b19415
Asked in a chat window; recorded, styled and exported by Screenify. No editor was opened.
What it can do
Connect it to an AI assistant and ask for the finished video instead of driving the editor yourself:
- record a screen, window, area, simulator or a web page
- style the export — wallpapers, device mockups, photo mockups, auto-zoom, cinematic effects
- add camera moves and effects to the moments that matter
- add animated titles — and keep the ones you made in the app when exporting
- open a video or image you already have and style that instead
- export to mp4, mov, gif or webp, with platform presets
Everything runs locally on your Mac. Nothing is uploaded.
Install
Requires Screenify Studio 2.2.0 or newer. The bundle carries no binary — it launches the CLI that ships inside the app.
Claude Desktop — one click
Download screenify.mcpb
and open it. Claude Desktop installs the connector.
Any other MCP client
Open Screenify Studio → Settings → AI Assistants → Connect AI assistants. It registers the server with every AI client it finds on your Mac. Or from a terminal:
screenify mcp install
From a registry
Screenify is listed in the official MCP registry
as studio.screenify/screenify, so clients that read the registry can find and install it
without any of the steps above.
Docs
Privacy Policy
Full policy: **https://www.screenify.studio/privacy**
In short, for this MCP server specifically:
- What it collects — nothing. The server runs locally on your Mac and exposes tools to an MCP client you already trust. It has no telemetry of its own.
- Where your data goes — recordings, projects and exported videos stay on your Mac, in your recordings folder and wherever you ask for the output. Nothing is uploaded by the server.
- Third parties — none for the recording and export tools. Two features reach out only when you explicitly use them: web recording fetches the URL you ask for, and the optional AI-director effects call the AI provider whose API key you supplied.
- Retention — the server keeps nothing after a job finishes; the files it produced are yours to keep or delete.
- Contact — support@screenify.studio
Support
Issues with the MCP server or the app: support@screenify.studio
License
This repository — the MCP bundle (screenify.mcpb: a manifest, a launcher script and an icon)
and its documentation — is MIT licensed.
Screenify Studio itself is proprietary software and is not covered by that license. The app provides the MCP server, the recording pipeline and the export engine; this repo only ships the small bundle that launches it.
Questions fréquentes
Qu'est-ce que Screenify Studio ?
Record your screen and export studio-styled demo videos on macOS, driven by your AI assistant.
Comment installer Screenify Studio ?
Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.
Faut-il une clé API pour Screenify Studio ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
Screenify Studio est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient Screenify Studio ?
Il est publié par ScreenifyStudio. 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.