shotcut-mcp
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- AlicenseNot gradedqualityAmaintenanceEnables AI agents and MCP clients to programmatically edit video projects on a local desktop editor, with 119 tools for multitrack editing, effects, captions, audio, and batch auto-editing, producing reviewable and reversible real timeline edits.AGPL 3.0
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- AlicenseNot gradedqualityBmaintenanceEnables AI agents to edit video locally through FFmpeg: probing media, validating and previewing JSON edit projects, rendering short-form clips with captions, reframing, transitions and ducked music. Also analyses existing videos and applies or saves reusable format templates, without cloud services or API keys.Apache 2.0
- AlicenseNot gradedqualityCmaintenanceAn MCP server that gives AI agents a stateful multi-track video editor powered by MLT, enabling them to assemble timelines, add media and text, apply filters and transforms, preview downscaled frames, and render final videos to disk.MIT
TDQS
Scored across 14 tools
Most tools target clearly different actions on the timeline (add, trim, move, split, filter, transition, render). A few pairs could still be confused: remove_clip vs remove_segment, and project_info vs get_timeline both return overlapping project/timeline data.
Almost all tools follow a verb_noun pattern (create_project, add_clip, trim_clip, apply_filter, get_timeline). The exceptions are project_info (noun phrase) and render (bare verb), which are minor deviations but readable.
14 tools is well within the ideal 3-15 range for a focused video-editing server. Each tool represents a meaningful editing operation, and there are no redundant or trivial tools.
Core clip editing, filters, transitions, timeline inspection, and rendering are covered. However, there is no explicit open_project/load_project tool to continue editing an existing .mlt file, no delete_project, and no way to update project-level settings, creating a notable lifecycle gap.