A
licenseNot graded
qualityD
maintenanceEnables video generation from text prompts or images using Google's Veo 3 API. Supports multiple models, audio generation, and various aspect ratios for creating high-quality videos.
24 PyPI
3
MIT
Veo 3.1 MCP Server
by waimakers
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TDQS
A4/5.0
Scored across 6 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with no overlap: cost estimation, video extension, job status checking, batch generation, single generation, and image upload. The descriptions reinforce distinct workflows (e.g., 'extend_video' specifically requires Veo-generated input, while 'upload_image' handles image preparation).
Naming Consistency5/5
All tools follow a consistent verb_noun pattern with snake_case (e.g., 'estimate_veo_cost', 'extend_video', 'get_video_job'). The naming is predictable and readable, using clear verbs like 'estimate', 'extend', 'get', 'start', and 'upload' paired with relevant nouns.
Tool Count5/5
Six tools are well-scoped for a video generation server, covering core operations from initiation to status checking and cost management. This count avoids bloat while ensuring each tool earns its place, such as separate tools for single and batch generation to handle different use cases efficiently.
Completeness5/5
The toolset provides complete coverage for the video generation domain: starting jobs (single and batch), checking status, extending videos, uploading images for reference, and estimating costs. There are no obvious gaps; agents can handle the full lifecycle from planning to retrieval without dead ends.
Maintenance
ActivityInactive
ResponsivenessNo issues