A
licenseNot graded
qualityB
maintenanceEnables AI agents to generate professional storyboards and videos from scripts or creative descriptions via MCP-compatible clients.
25 npm
MIT
StarReel MCP
by starreel
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TDQS
B3.1/5.0
Scored across 132 tools
Disambiguation3/5
Descriptions are exceptionally detailed and actively cross-reference what-not-to-use, but at 132 tools several clusters genuinely overlap: four character-image tools (generate_character_portraits/sheets/portraits_and_sheets/character_sheet), three poster/cover tools, and multiple audio-dialogue tools (generate_tts, lipsync_episode, replace_shot_dialogue, repair_episode_dialogue) require careful reading to select correctly.
Naming Consistency4/5
The vast majority follow a clear verb_noun pattern (get_*/set_*/update_*/delete_*/generate_*/quote_*/check_*/list_*/import_*). Minor deviations exist: the MV-prefixed subnamespace (set_mv_lyrics, get_mv), generate_tts using an acronym instead of a noun, and review_all/run_precheck breaking the rigid resource-noun pattern.
Tool Count1/5
132 tools is an extreme count by any standard — over 2.5x the 50+ threshold for extreme mismatch. Even though the server spans multiple production domains (short drama, MV, ads, brand films, voice cloning), this breadth would be far more usable split into separate focused servers.
Completeness4/5
The pipeline is remarkably complete: every paid step has a matching quote_* tool, all three review gates have corresponding review_token consumers, and CRUD exists for characters/scenes/props. Minor gaps: scene Bible creation is explicitly deferred to the website, dialogue-repair progress references a status endpoint not exposed as a tool, and there is no delete_drama/delete_episode.