veo-mcp
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- FlicenseAqualityBmaintenanceEnables AI agents to generate videos from text prompts, monitor job status, retrieve completed videos, and cancel ongoing generation tasks through stdio-based MCP tools.4-

PixVerse MCPofficial
AlicenseNot gradedqualityFmaintenanceEnables video generation from text, images, and more through MCP-compatible apps like Claude and Cursor.54MIT- AlicenseAqualityDmaintenanceProvides access to Vidu's video generation models for creating high-quality videos from text, images, and reference content. It enables users to generate creative video content directly within MCP-compatible applications like Claude and Cursor.55MIT
TDQS
Scored across 3 tools
Each tool has a clearly distinct role: list_models discovers model ids, generate_video starts a paid render, and fetch_video recovers an already-started operation. The descriptions explicitly distinguish starting a new render from fetching an existing one.
All three tools follow a consistent snake_case verb_noun pattern: list_models, generate_video, fetch_video. There is no mixing of conventions or vague standalone verbs.
Three tools is a tight, well-scoped surface for a video-generation server: discovery, generation, and recovery are each covered without redundancy. No tool feels extraneous.
The core workflow is covered: list available models, generate text/image-to-video, and fetch a video from a started operation. Minor gaps exist around operation management, such as checking status without fetching or cancelling a render, but these are not critical for the stated use case.