video-editor-mcp
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- FlicenseNot gradedqualityDmaintenanceAn MCP server that enables natural language video editing using FFmpeg, supporting operations like trimming, merging, format conversion, and more with real-time progress tracking.-
- FlicenseNot gradedqualityCmaintenanceAn MCP server that provides 17 FFmpeg-based tools for video and audio processing, including conversion, compression, and editing. It enables AI assistants to perform complex media tasks like extracting audio, adding watermarks, and merging videos using natural language.197 npm2-
- AlicenseNot gradedqualityDmaintenanceAn MCP server for programmatic video editing using ffmpeg, enabling draft creation and refinement via natural language.8 npmISC
- AlicenseBqualityDmaintenanceAn MCP server providing video processing capabilities through FFmpeg, enabling dialog-based local video search, trimming, concatenation, and playback functionalities.8148MIT
- AlicenseAqualityBmaintenanceEnables LLMs to perform FFmpeg operations like clipping, merging, extracting audio, adding subtitles, and transcoding videos via a set of tools exposed as an MCP server.59MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that exposes FFmpeg as structured tools for AI-agent-driven video editing, enabling operations like trimming, subtitling, and transcoding via natural language.197 npm1MIT
TDQS
Scored across 16 tools
Each tool targets a distinct video/audio editing operation with clear separation: inspecting, extracting, trimming, merging, converting, resizing, cropping, rotating, speed/volume changes, frame grabbing, overlays, fades, compression, and GIF generation. Even overlapping pairs like convert_format vs compress_video or extract_frame vs generate_gif have well-defined differences in purpose and output.
All tool names follow a consistent verb_noun pattern using lowercase with underscores (get_media_info, extract_audio, trim_video, etc.). There are no mixed conventions, camelCase, or vague verbs, making the toolset highly predictable.
With 16 tools, the set is slightly above the typical 3-15 sweet spot, but each tool serves a distinct common editing need. The count feels justified given the broad scope of video editing, though one or two could be consolidated (e.g., add_text_overlay and add_watermark are both overlays).
The toolset covers core video editing workflows: inspect, trim, merge, convert, transform (resize/crop/rotate), audio adjustment, frames, text/watermark overlays, fades, compression, and GIF export. Missing operations like video stabilization or color grading are minor gaps for a basic editor, and agents can accomplish most tasks without dead ends.