MCP Server

MCP server for OpenAI Sora AI video generation

Remote serverstreamable-httpPython

What is the MCP MCP server?

MCP server for OpenAI Sora AI video generation. The mcp mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 3 defined tools rather than through you.

What it actually does

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

  • Text-to-Video — - Generate videos from text descriptions
  • Image-to-Video — - Animate images and create videos from reference images
  • Character Videos — - Reuse characters across different scenes
  • Async Generation — - Webhook callbacks for production workflows
  • Multiple Orientations — - Landscape and portrait videos
  • Task Tracking — - Monitor generation progress and retrieve results

Its toolset

Everything the assistant can do here goes through one of these:

  • Cline — The Cline tool exposed by this server
  • Tasks — The Tasks tool exposed by this server
  • Information — The Information tool exposed by this server

Configuration

You will need 5 environment variables: ACEDATACLOUD_API_TOKEN, YOUR_API_TOKEN, ACEDATACLOUD_API_BASE_URL, ACEDATACLOUD_OAUTH_CLIENT_ID, ACEDATACLOUD_PLATFORM_BASE_URL. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Adding it to your client

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

When to reach for it

Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. MCP's toolset — Cline, Tasks, Information — 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.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Caveats

  • 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.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the mcp mcp server does with a few real requests.

Available tools

ToolWhat it does
ClineThe Cline tool exposed by this server.
TasksThe Tasks tool exposed by this server.
InformationThe Information tool exposed by this server.

How to install the MCP MCP server

{
  "mcpServers": {
    "sora": {
      "type": "streamable-http",
      "url": "https://sora.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
ACEDATACLOUD_OAUTH_CLIENT_IDConfiguration value read at startup.Optional
ACEDATACLOUD_PLATFORM_BASE_URLEndpoint or connection string the server talks to.Yes

Example prompts to try

  • Use MCP to Cline.
  • Use MCP to Tasks.
  • Use MCP to Information.

Frequently asked questions

It connects MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 3 tools (Cline, Tasks, Information) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP directly.