Modisign 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

postward-creative-mcpofficial
AlicenseBqualityBmaintenanceEnables AI assistants to generate images, videos, music, and voiceovers with your own provider keys, and edit video locally with ffmpeg — all on your machine with no account, watermark, or telemetry.35745 npmMIT- AlicenseCqualityCmaintenanceGives an AI client local control over Adobe Premiere Pro, letting it inspect footage frame-by-frame to find the best moments, assemble and trim edits on the timeline, render animated title cards, review its own work, and export the finished video. Vision and editing tools run entirely on the user's own computer, with nothing sent to the publisher.289MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to generate, edit and render finished, ready-to-post videos from a plain-language prompt, including script, visuals, voiceover, captions and music for TikTok, Reels and YouTube. Also supports remaking reference videos, importing your own media, and reviewing or adjusting existing videos before rendering.MIT
- AlicenseBqualityCmaintenanceEnables AI agents to edit videos locally by inspecting media, applying templates, cutting clips, and delivering finished files, with memory of human preferences.184Apache 2.0
- 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.2AGPL 3.0
TDQS
Scored across 11 tools
Each tool targets a distinct resource/action: overlay discovery (list/get), configuration, rendering, compositing, video editing, transcription, job lifecycle, and auth. The only potential overlaps—render_overlay vs add_overlay_to_video and add_overlay_to_video vs edit_video—are explicitly clarified by descriptions indicating when to use each.
8 of 11 tools follow a clear verb_noun pattern (get_overlay, cancel_job, list_overlays, configure_overlay, render_overlay, add_overlay_to_video, edit_video, get_transcript). job_status/account_status use noun_status and login is a bare verb, but these deviations are minor and readable.
11 tools is well within the ideal 3-15 range for an overlay/video-editing server. Each tool covers a necessary slice: discovery, configuration, rendering/compositing, editing, transcription, job control, and auth.
Core workflows are fully covered: overlay search/inspection/configuration/render/composite, comprehensive local video editing with captions, transcription, job status/cancel, and login/account checks. Minor gaps remain (no media metadata probe, no way to list saved overlay configurations, no logout), but agents can work around them.