A
licenseA
qualityA
maintenanceEnables Claude Code and Claude desktop to generate AI videos and images through Dare, with credit cost estimation, reference uploads, and generation management billed to the user's Dare credits.
13
8 npm
1
MIT
seedance-mcp
by atharva3vedi
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TDQS
A3.5/5.0
Scored across 9 tools
Disambiguation4/5
Most tools target distinct actions (generate, cancel, estimate, check), and the spend trio of estimate_cost/spend_status/preapprove_spend is clearly differentiated by description. The only mild overlap is video_task (single status) versus list_video_tasks (batch listing), which descriptions resolve adequately.
Naming Consistency4/5
Snake_case is used throughout and most names follow a verb_noun pattern (generate_video, cancel_video_task, estimate_cost, check_setup). Minor deviations are the noun-phrase names video_task and spend_status, which read less like actions than their peers.
Tool Count5/5
Nine tools is well-scoped for a media-generation service with spend controls, covering generation, task lifecycle, and cost management without redundancy. Each tool earns its place.
Completeness4/5
The surface covers generation (video/image), task lifecycle (status, list, cancel), and the full cost-approval loop, which is strong coverage. A minor gap is the asymmetry where video tasks have status/list/cancel lifecycle but images have no equivalent task-status tool.
Maintenance
ActivityMaintained
ResponsivenessNo issues