Wan 3.0 Video Prompt MCP
# Wan 3.0 Video Prompt MCP
A deterministic, read-only Model Context Protocol server for building Wan 3.0 video prompts, planning short shot sequences, checking current WAN-30.video configuration boundaries, and returning canonical resources.
This community project supports the independent [WAN-30.video](https://wan-30.video) workspace. It is not affiliated with or endorsed by Alibaba or the Wan project.
## Tools
- `build_wan3_video_prompt` — assemble a copy-ready production prompt.
- `plan_wan3_shot_sequence` — build a timed continuity plan for one to six shots.
- `diagnose_wan3_video_prompt` — check clarity plus current duration, resolution, reference, end-frame, and audio boundaries.
- `get_wan3_video_resources` — return canonical creation, guide, pricing, and policy URLs.
The server does not upload files, generate media, call model providers, access accounts, spend credits, or submit payments.
## Run
```bash
npx -y github:gpt-img-2/wan3-video-prompt-mcp
```
Optional environment variable:
```bash
WAN3_APP_BASE_URL=https://wan-30.video
```
## OpenClaw
The installable Skill is in [`openclaw/wan-3-video-prompt-architect/SKILL.md`](openclaw/wan-3-video-prompt-architect/SKILL.md).
```bash
openclaw mcp add wan3-video \
--command npx \
--arg -y \
--arg github:gpt-img-2/wan3-video-prompt-mcp \
--include 'build_wan3_video_prompt,plan_wan3_shot_sequence,diagnose_wan3_video_prompt,get_wan3_video_resources'
```
If the installed OpenClaw release does not expose the `mcp` command group, configure `npx -y github:gpt-img-2/wan3-video-prompt-mcp` as a Stdio MCP server instead.
## Development
```bash
pnpm install
pnpm validate
```
Requires Node.js 20 or newer. Licensed under MIT.
TDQS
Scored across 4 tools
Each tool serves a clearly distinct phase: fetching resources, building a prompt, planning shot sequences, and diagnosing prompt constraints. Although build and diagnose both relate to prompts, their actions and outputs are clearly separated by the descriptions.
All tool names follow a consistent snake_case verb_noun pattern with a shared wan3_video namespace. The convention is predictable across all four tools.
Four tools is well-scoped for a focused prompt-assistance server. Each tool covers a meaningful part of the prompt workflow without unnecessary overlap or bloat.
The surface covers resource lookup, prompt assembly, shot planning, and prompt diagnosis, which are the core needs for a WAN 3.0 prompt tool. Minor gaps exist around iterative refinement, saving, or exporting generated prompts, but the core workflow is supported.