A
licenseNot graded
qualityD
maintenanceEnables AI agents to generate professional storyboards and videos from scripts or creative descriptions via MCP-compatible clients.
27 npm
MIT
Studio Bridge
Officialby spicyapi-ai
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TDQS
A4.2/5.0
Scored across 5 tools
Disambiguation5/5
Each tool targets a distinct action in the bridge workflow: pairing, claiming a new request, reading a known request, submitting a result, or failing a request. While studio_next_request and studio_get_request both retrieve requests, their descriptions clearly separate claiming new work from resuming a known ID.
Naming Consistency4/5
All names use a consistent studio_ prefix and snake_case, and most follow a verb_noun pattern (fail_request, get_request, submit_result). Minor deviations exist: studio_connect is verb-only, and studio_next_request reads as a noun phrase rather than a clear verb_noun.
Tool Count5/5
Five tools is well-scoped for a focused bridge server, covering the essential agent-side lifecycle without bloat. Each tool earns its place, and no operation feels redundant.
Completeness4/5
The surface covers pairing, claiming, reading, submitting, and failing requests, which are the core interactions for this domain. Minor gaps include no explicit tool to check current pairing status or list all shared requests, though the existing tools can work around these.
Maintenance
ActivityMaintained
ResponsivenessNo issues