A
licenseA
qualityD
maintenanceEnables video generation from text prompts or images using Agnes AI's video models, with async task submission and status polling.
2
10 npm
1
MIT
Seedance Polza MCP Server
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TDQS
B3.4/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: guide for instructions, create for initiating generation, get_status for one-time status check, and wait_for_completion for polling until done. No overlap or ambiguity between them.
Naming Consistency5/5
All tool names follow a consistent pattern: 'seedance_' prefix followed by verb_noun (model_guide, create_video, get_status, wait_for_completion). The naming is uniform and predictable.
Tool Count5/5
With only 4 tools, the server is tightly scoped for its purpose of video generation via Seedance. Each tool is essential and there are no redundant or unnecessary additions, making the count appropriate.
Completeness4/5
The server covers the core lifecycle of video generation: guidance, creation, status checking, and waiting for completion. While a cancel or list operation could be imagined, they are not essential for the primary workflow, so the set is nearly complete.
Maintenance
ActivityInactive
ResponsivenessNo issues