China Video AI Prompt MCP

A deterministic, read-only MCP server for designing English or Chinese video prompts, reference-aware shot plans, and focused revisions. It complements ChinaVideoAI.com and does not generate media, call model providers, access accounts, compare live prices, or spend credits.

Tools

• build_video_prompt turns a rough idea into a structured English or Chinese prompt pack.

• plan_reference_shots creates a timed 1–6 shot sequence with reference roles and continuity anchors.

• diagnose_video_prompt finds missing motion, camera, lighting, and continuity controls while preserving reference tokens.

• get_china_video_resources returns canonical ChinaVideoAI.com guides and workflow pages.

All tools are deterministic and declare read-only MCP annotations. No API key is required.

Related MCP server: Enhanced Multimedia Analysis MCP

Install

Run directly from GitHub:

{
  "mcpServers": {
    "chinavideoai": {
      "command": "npx",
      "args": ["-y", "github:gpt-img-2/chinavideoai-prompt-mcp"]
    }
  }
}

Or clone and run locally:

pnpm install
pnpm build
node dist/index.js

Optional environment variable:

• CHINAVIDEOAI_APP_BASE_URL: changes the resource-link origin. Defaults to https://chinavideoai.com.

Example inputs

Build a bilingual-aware prompt:

{
  "idea": "一只白鹭从清晨薄雾中的湖面起飞",
  "workflow": "image-to-video",
  "camera": "低机位缓慢跟拍",
  "referenceConstraints": "保留 @Image1 中白鹭的羽毛纹理与湖岸构图"
}

Plan reference-aware shots:

{
  "idea": "A trail shoe crosses wet rock and lands in a shallow stream",
  "shotCount": 3,
  "totalDurationSeconds": 9,
  "referenceRoles": "@Image1 controls product geometry; @Video1 controls motion timing",
  "continuityAnchor": "shoe color, laces, runner wardrobe, and travel direction"
}

OpenClaw Skill

The companion Skill is in openclaw/china-video-prompt-architect. It works as a text-only workflow without this MCP; connecting the MCP adds deterministic prompt-building and diagnostic tools.

Development

pnpm validate

This project is an independent prompt-design utility and is not official documentation or an official implementation of Seedance, Kling, Wan, MiniMax, or any other model.

• 中文说明

• China AI video generator

• Reference-to-video guide

License

MIT