Record your screen and export studio-styled demo videos on macOS, driven by your AI assistant.
Run one of the commands below, then add the client config underneath.
mcpbhttps://github.com/ScreenifyStudio/screenify-mcp/releases/download/v2.2.1/screenify.mcpb
Screenify Studio is listed in the AI Agents category of the MCPNav directory. It is distributed as mcpb and can be loaded by any client that speaks the Model Context Protocol.
Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.
Screenify Studio is an MCP server by studio. Record your screen and export studio-styled demo videos on macOS, driven by your AI assistant.
Install it with: https://github.com/ScreenifyStudio/screenify-mcp/releases/download/v2.2.1/screenify.mcpb. Then add the JSON config to your client's MCP settings and restart the client.
The MCP server itself is free to install. The source is public on https://github.com/ScreenifyStudio/screenify-mcp. Any third-party API it calls (such as a search or maps API) may require its own key and billing.
Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.