Connect Shotstack to AI Tools via MCP for Video Generation

Описание и применение

Интеграция Shotstack с ИИ-ассистентами через MCP позволяет создавать и редактировать видео через чат без написания JSON-таймлайнов. Поддерживаются Claude Desktop и Cursor.

Задача

Creating videos with AI assistants typically requires manually writing complex JSON timelines or making direct API calls, which is tedious and error-prone for non-developers.

Результат

Users can generate and edit videos directly through AI chat interfaces by connecting Shotstack via MCP. The workflow supports both direct rendering to URL and interactive editing in Studio, eliminating the need for manual JSON timeline construction.

Рабочий процесс

• Obtain a Shotstack API key (sandbox or production) from app.shotstack.io.
• For Claude Desktop: Go to Customize > Connectors, add a custom connector with URL https://mcp.shotstack.io/, and complete OAuth.
• For Cursor: Add the MCP server configuration to ~/.cursor/mcp.json with the URL https://mcp.shotstack.io/.
• Prompt the AI assistant to create a video (e.g., 'Create a 15-second video about the earth...').
• The AI calls the 'render_video' tool, which returns a render ID.
• The AI polls 'get_render_status' until the video is done.
• The AI provides the output URL or offers to open the 'studio' tool for interactive editing.
• Review and download the final video from the Shotstack dashboard or editor.

Доказательства

Shotstack ships an official MCP server. That means you can connect it directly to Claude Desktop, Claude Code, Cursor, ChatGPT, Antigravity, or any other MCP-aware client, and create or render videos by chatting — no hand-written JSON timelines, no manual API calls.

Источник

Enter the URL: https://mcp.shotstack.io/ ... Click on the Connect button and then complete the OAuth flow

Источник