Enables AI agents to perform headless video editing through 35 tools for project creation, clip manipulation, rendering, quality control, and semantic search, all via JSON-RPC 2.0 over stdio.
Enables AI-powered video editing in IDEs through a pipeline-driven workflow, including proxy ingestion, motion graphics generation, and high-fidelity rendering.
An MCP server that transforms LLM-enabled IDEs into professional video editors by pre-processing footage into text proxies, generating motion graphics via HTML/CSS, and orchestrating complex FFmpeg renders.
Enables video editing using natural language commands powered by FFmpeg, supporting operations like trimming, merging, format conversion, and more with real-time progress tracking and error handling.
Provides powerful video and audio editing capabilities through FFmpeg, enabling AI assistants to perform professional-grade operations including format conversion, trimming, overlays, transitions, and advanced audio processing.