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Manipulate videos with ffmpeg for extraction, conversion, trimming, audio, and subtitles.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-video-reader" yet — see the docs or source repo.
Use this tool to extract one frame every 10 seconds from the video and export them as image files in chronological order.
A set of extracted frame images or the corresponding result listing by timestamp.
Convert this video to MP4 format and keep it as compatible as possible with common media players.
A converted MP4 video file.
Trim the video from 00:01:00 to 00:01:30 and reduce the audio volume slightly.
A new trimmed video clip with adjusted audio.
Developers or content creators can use it to bring common ffmpeg video operations into a workflow, such as batch format conversion, clip trimming, or frame extraction. This reduces repetitive manual command execution.
Designers or creators can use it before publishing to adjust video formats and handle subtitles and audio for different playback or distribution scenarios. It fits quick technical video-preparation tasks.
When a team only needs core video processing capabilities, this tool can perform them through ffmpeg without requiring an external API key. It suits simple video automation scenarios.
It is an MCP tool for video processing through ffmpeg. Known capabilities include frame extraction, format conversion, trimming, audio adjustments, filters, and subtitle handling.
No. The original description explicitly says it does not require an external API key.
It is known to provide video processing through ffmpeg, so ffmpeg is one of its core dependencies. More specific installation and runtime requirements are not provided in the available materials; see the source repository.
Process videos with natural-language transcription, clipping, and file management.
Edit, merge, overlay, and convert videos through ffmpeg-powered MCP tools.
Extract video frames and metadata for LLM-powered video analysis workflows.
Edit, subtitle, and transcode videos through AI-driven FFmpeg workflows.
Use natural language to process, analyze, and stream audio and video.
Process video and audio with hosted FFmpeg-style transcoding, trimming, and conversion.