MultiViewer for F1

MCP server implementation by Rob Spectre that provides AI assistants with complete control over MultiViewer, a desktop application for watching Formula 1 and other motorsports with multiple synchronized video streams. The implementation offers three interfaces: a Python library for programmatic control, a Click-based CLI for StreamDeck integrations and automation, and an MCP server exposing tools for creating, deleting, and manipulating video players, accessing F1 and WEC live timing data, and synchronizing playback across multiple streams. Built with GraphQL integration to MultiViewer's local API (localhost:10101), the server enables AI agents to orchestrate complex multi-stream viewing experiences including picture-in-picture layouts, driver onboard positioning, commentary synchronization, and real-time race data integration, making it valuable for motorsports enthusiasts who want conversational control over their viewing setup and broadcasters needing automated stream management during live events.

Source

Repository: https://github.com/robspectre/mvf1