A
licenseA
qualityD
maintenanceEnables Claude Code to generate, edit, blend, and create variations of images using BytePlus SeeDream AI models, with streaming and Firebase sync.
6
MIT
dare-mcp-server
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TDQS
A4.4/5.0
Scored across 13 tools
Disambiguation5/5
Each tool targets a distinct resource and action: models, costs, balance, video generation, image generation, generation lifecycle, media uploads, and projects. Even generation and upload operations are clearly separated by resource type, leaving no realistic ambiguity.
Naming Consistency5/5
All tools follow the same dare_<verb>_<noun> pattern with consistent verb choices like list, get, create/generate, cancel, delete, and upload. The naming is uniform and predictable across the entire tool set.
Tool Count5/5
13 tools is well-scoped for a media generation API: it covers model discovery, cost estimation, account balance, generation creation/status/listing/cancellation/deletion, media uploads, and project listing. Each tool earns its place without the set feeling bloated or thin.
Completeness5/5
The tool surface covers the full generation workflow: estimate cost, check balance, generate, poll status, list, cancel, and delete. Uploads and projects are also covered for their supporting roles. No critical gap prevents an agent from completing a realistic task.
Maintenance
ActivityMaintained
ResponsivenessNo issues