Video Autopilot Publisher
Automates video publishing to platforms like YouTube, Instagram, and TikTok via MCP protocol. Handles upload, scheduling, and metadata assignment programmatically. Content creators and marketers use it to integrate video deployment into AI-driven production pipelines.
Overview
The Video Autopilot Publisher MCP server (video-autopilot-publisher-mcp) enables AI models to automate the end-to-end process of publishing videos to online platforms. It connects to content management systems and social media APIs, executing publishes without human oversight. Users send video files, captions, and schedules through MCP calls for hands-free deployment.
Key Capabilities
Specific tools/capabilities are not listed in server discovery (N/A). Based on the server name and purpose, it supports core functions such as:
- Video file ingestion and format validation.
- Scheduling publishes with timestamps and recurrence.
- Platform-specific API integrations for direct posting. These operate via MCP tool calls, allowing models to chain publishing after generation or editing tasks.
Use Cases
- AI Video Generators: After generate_video from a tool like RunwayML, invoke Video Autopilot Publisher to upload and schedule to YouTube, including SEO-optimized titles.
- Social Media Campaigns: Marketers batch-upload promotional clips to Instagram Reels and TikTok, setting staggered release times via MCP scheduling calls.
- News Outlets: Automate breaking video stories to multiple platforms, appending timestamps and sources automatically.
- Educational Content: Teachers or platforms publish lecture clips to Vimeo or custom CDNs with embedded quizzes.
Who This Is For
Digital marketers managing high-volume video content, content creators building automated pipelines, developers integrating video workflows into apps, and agencies handling client social media. Requires familiarity with MCP for tool invocation in AI agents.