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Use natural language to process, analyze, and stream audio and video.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ffmpeg-mcp" yet — see the docs or source repo.
Please convert all MP4 videos in the /videos folder to 1080p H.264 with AAC audio, and save them to the /output folder.
Produces transcoded files in the target directory with the requested settings.
Analyze this video file for codec, resolution, duration, frame rate, audio tracks, and bitrate, then summarize the results in a table.
Returns a structured summary of media properties for inspection and documentation.
Help me capture from a local camera and microphone and stream to an RTMP endpoint at 720p, 30fps, with low latency.
Generates an executable streaming workflow or command for low-latency live delivery.
Edit, subtitle, and transcode videos through AI-driven FFmpeg workflows.
Process videos with FFmpeg for speed changes, concatenation, optimization, and file handling.
Analyze videos with scenes, transcripts, visual descriptions, and storyboards.
Enable AI to transcribe audio, detect languages, and extract metadata.
Extract video frames and metadata for LLM-powered video analysis workflows.
Master audio with loudness analysis, mixing, LUFS targeting, and Dolby export.