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DaVinci Resolve MCP Integration: Video Editing Workflows with AI Agents

ESER Engineering September 18, 20266 min read

How to connect DaVinci Resolve video rendering and timeline assets with ESER AI via Model Context Protocol (MCP) and REST endpoints.

## DaVinci Resolve MCP Integration: Video Editing Workflows\n\nBlackmagic Design DaVinci Resolve is an industry standard for color grading, audio finishing, and timeline video editing. By integrating Model Context Protocol (MCP) servers with AI assistants, editors and developers can bridge rendered master assets directly into multi-network social publishing queues.\n\n---\n\n### Architecture: From Timeline Export to Multi-Platform Publishing\n\n1. **Timeline Render Export:** Render your finished 9:16 vertical or 16:9 master video file to local storage or an object bucket.\n2. **Authenticated Ingestion via MCP:** Use the canonical tool `eser_create_presigned_upload_url` (or REST endpoint `POST /v1/media/upload`) to upload media assets safely to storage.\n3. **Programmatic Queueing:** Dispatch the asset across connected accounts on YouTube, TikTok, Instagram Reels, and Facebook Video using `eser_create_post`.\n\n---\n\n### Integrating via Claude Desktop Config\n\nAdd the ESER MCP endpoint to `claude_desktop_config.json`:\n\n```json\n{\n "mcpServers": {\n "eser-ai": {\n "url": "https://app.eserai.tech/mcp",\n "headers": {\n "Authorization": "Bearer YOUR_ESER_KEY"\n }\n }\n }\n}\n```\n\n---\n\n### Workflow Advantages for Video Editors\n- **Automated Ingestion:** Move rendered video clips directly into scheduled publishing queues without manual device transfers.\n- **Metadata Consistency:** Apply platform-tailored titles, descriptions, first comments, and tags programmatically through standard MCP tool schemas.\n- **Safe Storage Protocol:** Direct multipart and presigned storage uploads with checksum verification.

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