FFmpeg-MCP provides a server implementation that enables AI models to perform multimedia processing operations using FFmpeg. Built by Amol Soans, it offers tools for video trimming, format conversion, audio extraction, watermarking, quality adjustment, and batch processing of media files. The implementation includes robust security measures like path validation and working directory isolation, comprehensive error handling, and thorough unit tests. It's particularly valuable for workflows requiring media manipulation without leaving the conversation interface, allowing models to process audio and video files directly.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.