wan-mcp
<h1 align="center">RunAPI Wan MCP Server</h1>
<p align="center">
<strong>Wan API access for AI agents: run image and video generation operations, poll asynchronous results, and check pricing through one focused MCP server.</strong>
</p>
<p align="center">
<sub>Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host.</sub>
</p>
<p align="center">
<a href="https://www.npmjs.com/package/@runapi.ai/wan-mcp"><img src="https://img.shields.io/npm/v/%40runapi.ai/wan-mcp?style=flat-square&color=blue" alt="npm version"></a>
<a href="https://github.com/runapi-ai/wan-mcp"><img src="https://img.shields.io/badge/GitHub-runapi--ai%2Fwan--mcp-24292f?style=flat-square" alt="GitHub repository"></a>
<a href="LICENSE"><img src="https://img.shields.io/badge/License-Apache_2.0-blue?style=flat-square" alt="Apache-2.0 license"></a>
<img src="https://img.shields.io/badge/Type-MCP_Server-blue?style=flat-square" alt="MCP Server">
<img src="https://img.shields.io/badge/Models-18-16a34a?style=flat-square" alt="18 models">
</p>
<p align="center">
<a href="#install">Install</a> |
<a href="#tools">Tools</a> |
<a href="#models">Models</a> |
<a href="#agent-prompts">Agent Prompts</a> |
<a href="#configuration">Configuration</a> |
<a href="#links">Links</a>
</p>
---
## Why This Package?
`@runapi.ai/wan-mcp` is a focused Model Context Protocol server for the **Wan** model line on RunAPI.
It gives MCP-compatible assistants direct access to 6 endpoints and 18 model variants without loading the full RunAPI catalog.
Use this per-model server when an agent should stay scoped to Wan. Use [`@runapi.ai/mcp`](https://github.com/runapi-ai/mcp) when one assistant should discover every RunAPI model line.
---
## Install
Add it to Claude Code:
```bash
claude mcp add wan -s user -- npx -y @runapi.ai/wan-mcp
```
Use project scope when the server should be shared with a repository:
```bash
claude mcp add wan -s project -- npx -y @runapi.ai/wan-mcp
```
Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:
```json
{
"mcpServers": {
"wan": {
"command": "npx",
"args": ["-y", "@runapi.ai/wan-mcp"]
}
}
}
```
`check_pricing` works before sign-in. For task creation and status polling, ask your assistant to call the `login` tool. It opens a browser login and saves credentials to `~/.config/runapi/config.json`, the same file used by `runapi login`.
Headless and CI hosts can still set `RUNAPI_API_KEY` before starting the MCP host.
Ready-made examples are in [`examples/`](examples/) for Claude, Cursor, Windsurf, VS Code, and Roo Code.
---
## Tools
| Tool | Auth | Purpose |
|---|---|---|
| `animate` | Yes | Create a Wan animate task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
| `edit_video` | Yes | Create a Wan edit video task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
| `image_to_video` | Yes | Create a Wan image to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
| `speech_to_video` | Yes | Create a Wan speech to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
| `text_to_image` | Yes | Create a Wan text to image task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
| `text_to_video` | Yes | Create a Wan text to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
| `get_task` | Yes | Fetch the current status and latest payload for an existing task. |
| `check_pricing` | No | Look up current pricing for a Wan model and endpoint. |
---
## Models
Wan covers 18 model variants across 6 endpoints. Each tool accepts the models listed for it:
| Tool | Models |
|---|---|
| `animate` | `wan-2.2-animate-move`, `wan-2.2-animate-replace` |
| `edit_video` | `wan-2.6-edit-video`, `wan-2.6-flash-edit-video`, `wan-2.7-edit-video` |
| `image_to_video` | `wan-2.2-a14b-image-to-video-turbo`, `wan-2.5-image-to-video`, `wan-2.6-flash-image-to-video`, `wan-2.6-image-to-video`, `wan-2.7-image-to-video` |
| `speech_to_video` | `wan-2.2-a14b-speech-to-video-turbo` |
| `text_to_image` | `wan-2.7-image`, `wan-2.7-image-pro` |
| `text_to_video` | `wan-2.2-a14b-text-to-video-turbo`, `wan-2.5-text-to-video`, `wan-2.6-text-to-video`, `wan-2.7-r2v`, `wan-2.7-text-to-video` |
Model availability can change between releases. Use `check_pricing` or the [Wan model page](https://runapi.ai/models/wan) for the current catalog view.
---
## Agent Prompts
Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.
### Create a task
```text
Run a Wan animate task with RunAPI.
```
The assistant can call `check_pricing`, then `animate`, and return the task id, status, and output URLs.
### Submit without waiting
```text
Create the task but don't wait for it to finish.
```
The assistant calls the create tool with `wait: false` and returns the task id. Check on it later with `get_task`.
### Check pricing before creating
```text
Check current Wan pricing, then create the task if it matches my request.
```
The assistant calls `check_pricing` and can link to the [Wan model page](https://runapi.ai/models/wan) for the canonical catalog entry.
---
## Configuration
The server resolves auth in this order:
1. `RUNAPI_API_KEY` environment variable, useful for headless and CI hosts
2. `~/.config/runapi/config.json`, created by the MCP `login` tool or `runapi login`
3. No key, which still allows `check_pricing`
The config file is normally managed by login. A pre-provisioned headless config can use:
```json
{
"apiKey": "your_runapi_key"
}
```
Do not commit real API keys.
---
## Links
| Resource | URL |
|---|---|
| Wan model page | [https://runapi.ai/models/wan](https://runapi.ai/models/wan) |
| npm package | [@runapi.ai/wan-mcp](https://www.npmjs.com/package/@runapi.ai/wan-mcp) |
| GitHub repository | [runapi-ai/wan-mcp](https://github.com/runapi-ai/wan-mcp) |
| RunAPI MCP overview | [runapi.ai/mcp](https://runapi.ai/mcp) |
| RunAPI docs | [runapi.ai/docs](https://runapi.ai/docs) |
---
## License
Licensed under the [Apache License, Version 2.0](LICENSE).
TDQS
Scored across 9 tools
Most tools are clearly differentiated by input modality (text_to_image, image_to_video, speech_to_video, etc.), but 'animate' and 'edit_video' have overlapping video-manipulation purposes and vague descriptions, making selection uncertain. Overall, the set is mostly distinct with only minor ambiguity.
All names use snake_case, which is consistent, but the patterns vary widely: some follow input_to_output form (text_to_image), some are verb_noun (edit_video, get_task), and some are single verbs (animate, login). This mixed convention reduces predictability.
Nine tools is a well-scoped set for a generation API, covering multiple creation endpoints plus utility functions. No tool feels redundant.
The surface covers task creation for various modalities, task status retrieval, pricing, and authentication. However, it lacks task management operations like cancel, list, or delete, which could be needed for longer workflows.