video-atelier-mcp
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- AlicenseNot gradedqualityBmaintenanceEnables AI agents to edit talking-head videos locally by transcribing footage, applying validated edit operations like cutting fillers and silences, adding zooms, captions, looks and branding, and checking results with rendered previews. Agents can also read pinned editor feedback notes with annotated frames, resolve them, and export MP4, SRT or OTIO while the user watches changes live.1MIT
- AlicenseBqualityCmaintenanceEnables AI agents to edit videos locally by inspecting media, applying templates, cutting clips, and delivering finished files, with memory of human preferences.183Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables AI coding agents to generate cinematic video and image assets and perform autonomous timeline assembly, multi-track audio editing, chroma-key compositing, and local draft manipulation from conversational prompts.2MIT
- AlicenseNot gradedqualityBmaintenanceAI-native timeline editor for short-form video. Your agent cuts, captions, adds motion graphics and renders against a real, editable timeline over MCP — not a render queue. Human-in-the-loop by design: it calls request_review and waits while you supervise in a browser. Local-first and AGPL; your footage never leaves your machine.1AGPL 3.0
- FlicenseNot gradedqualityDmaintenanceEnables agentic video editing and composition via MCP, allowing creation and manipulation of multi-track timelines with clips, transitions, filters, and text overlays, then rendering to MP4 using the melt-7 CLI.-
- AlicenseBqualityCmaintenanceEnables AI agents to programmatically edit videos via FFmpeg, providing tools for probing, trimming, concatenating, timeline composition, LUT generation/application, rendering, and edit verification over MCP.162MIT
TDQS
Scored across 49 tools
Tools are grouped by domain and mostly have clear purposes, but several clusters overlap: media_thumbnail/media_extract_frames/export_thumbnail_set all extract images, multiple sam2_* tools perform mask-related operations, and export_formats/clip_format_convert/export_meta have fuzzy boundaries. The descriptions help, but an agent could still misselect among them.
The dominant pattern is a domain prefix plus an action (media_, captions_, audio_, render_, comp_, clip_ mostly use verb_noun forms), which is readable and predictable. Minor deviations like media_thumbnail (noun), health_check (no prefix), and export_meta (not a clear verb) break the pattern slightly but do not cause major confusion.
49 tools is a very large surface for an MCP server. Even though the domain is broad, the count exceeds the 25+ threshold and creates significant selection overhead; many tools could be consolidated (e.g., media_thumbnail versus export_thumbnail_set). The scope feels heavy rather than well-scoped.
The server covers a wide arc: import, probe, composition, audio, captions, rendering, export, generation, and sam2 segmentation. However, editing workflows are asymmetrical: comp_add_clip/add_overlay/add_transition have no corresponding remove/update tools, media_import has no delete/cleanup, and audio_add_track lacks a removal counterpart. These gaps are noticeable but can sometimes be worked around.