MCP Server

MCP server for Wan AI video generation

Remote serverstreamable-httpPython

What is the MCP MCP server?

MCP server for Wan AI video generation. That is what the mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

Generate AI videos from text or images directly from Claude, VS Code, or any MCP-compatible client.

  • Text to Video — - Create AI-generated videos from text prompts
  • Image to Video — - Generate videos using reference images
  • Multiple Models — - Support for 4 Wan models (wan2.6-t2v, wan2.6-i2v, wan2.6-r2v, wan2.6-i2v-flash)
  • Multiple Resolutions — - 480P (draft), 720P (default), 1080P (high quality)
  • Audio Support — - Generate videos with sound
  • Character Transfer — - Extract character appearance via reference videos (wan2.6-r2v)

The tools it exposes

The server publishes 1 tool. What each one is for:

  • Cline — The Cline tool exposed by this server

What it needs from you

Configuration is passed through the environment: ACEDATACLOUD_API_TOKEN, YOUR_API_TOKEN, ACEDATACLOUD_API_BASE_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Getting it running

Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.

How it compares

Among the planning and project tracking options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. MCP's toolset — Cline — is a fair guide to whether it matches your workflow. It is maintained by AceDataCloud; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Things to watch

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
ClineThe Cline tool exposed by this server.

How to install the MCP MCP server

{
  "mcpServers": {
    "wan": {
      "type": "streamable-http",
      "url": "https://wan.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
ACEDATACLOUD_API_TOKENCredential the server authenticates with.Yes
YOUR_API_TOKENCredential the server authenticates with.Yes
ACEDATACLOUD_API_BASE_URLEndpoint or connection string the server talks to.Yes

Example prompts to try

  • Use MCP to Cline.

Frequently asked questions

It connects MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 1 tool (Cline) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP directly.