# Seedance by Ace Data Cloud

Runs ByteDance Seedance AI video generation via Ace Data Cloud. Useful when you need to render video clips or poll task progress straight from an AI agent.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI · ★ 20
- Author: AceDataCloud
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/AceDataCloud/SeedanceMCP
- Updated: 2026-10-19
- HTML: https://affpapa.org/en/nevibecode/mcp/seedance-by-ace-data-cloud

## What it does

The server routes prompt requests into ByteDance Seedance using the Ace Data Cloud platform. When a video render starts, it handles the job asynchronously and lets you retrieve the finished video using the initial task ID.

Connecting works over remote HTTP or a local process. You can point your client to `https://seedance.mcp.acedata.cloud/mcp` using OAuth sign-in, send an API token via HTTP headers, or launch `uvx mcp-seedance` locally. Running the local process requires Python 3.10 or higher.

Every video render deducts credits from your AceDataCloud account balance. Configuring both OAuth authentication and a fixed `Authorization` header on the same server entry causes conflicts, so use only one authentication path.

## Requirements
- Needs: Python and uv (commands run via uvx)
- Remote server: `https://seedance.mcp.acedata.cloud/mcp`
- Environment variables: `ACEDATACLOUD_API_TOKEN` — keys and tokens: ask the human for the values, never commit them or put them in shared files.

## Install

### Claude Code (native platform)

1. **Platform CLI: remote server**
```bash
claude mcp add --transport http mcp-seedance https://seedance.mcp.acedata.cloud/mcp
```

2. **Platform CLI**
```bash
claude mcp add --env ACEDATACLOUD_API_TOKEN=<ACEDATACLOUD_API_TOKEN> --transport stdio seedance-by-ace-data-cloud -- uvx mcp-seedance
```
Replace <…> with your own values. uvx runs the command named after the package; if the README names another one, use uvx --from mcp-seedance <command>

### Codex

1. **Platform CLI: remote server**
```bash
codex mcp add seedance-by-ace-data-cloud --url https://seedance.mcp.acedata.cloud/mcp
```

2. **Platform CLI**
```bash
codex mcp add seedance-by-ace-data-cloud --env ACEDATACLOUD_API_TOKEN=<ACEDATACLOUD_API_TOKEN> -- uvx mcp-seedance
```
Replace <…> with your own values. uvx runs the command named after the package; if the README names another one, use uvx --from mcp-seedance <command>

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "seedance-by-ace-data-cloud": {
            "url": "https://seedance.mcp.acedata.cloud/mcp"
        }
    }
}
```
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "seedance-by-ace-data-cloud": {
            "command": "uvx",
            "args": [
                "mcp-seedance"
            ],
            "env": {
                "ACEDATACLOUD_API_TOKEN": "<ACEDATACLOUD_API_TOKEN>"
            }
        }
    }
}
```
Replace <…> with your own values. uvx runs the command named after the package; if the README names another one, use uvx --from mcp-seedance <command>

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "seedance-by-ace-data-cloud": {
            "type": "http",
            "url": "https://seedance.mcp.acedata.cloud/mcp"
        }
    }
}
```
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "seedance-by-ace-data-cloud": {
            "type": "stdio",
            "command": "uvx",
            "args": [
                "mcp-seedance"
            ],
            "env": {
                "ACEDATACLOUD_API_TOKEN": "<ACEDATACLOUD_API_TOKEN>"
            }
        }
    }
}
```
Replace <…> with your own values. uvx runs the command named after the package; if the README names another one, use uvx --from mcp-seedance <command>

### Gemini CLI

1. **Platform CLI: remote server**
```bash
gemini mcp add -t http seedance-by-ace-data-cloud https://seedance.mcp.acedata.cloud/mcp
```

2. **Platform CLI**
```bash
gemini mcp add -e ACEDATACLOUD_API_TOKEN=<ACEDATACLOUD_API_TOKEN> seedance-by-ace-data-cloud uvx mcp-seedance
```
Replace <…> with your own values. uvx runs the command named after the package; if the README names another one, use uvx --from mcp-seedance <command>

## When to use it
- generate videos from text prompts using ByteDance Seedance
- track asynchronous video rendering progress by task ID
- retrieve finished video assets directly inside your coding client

## Example prompts
- Generate a short video of a rainy city street using Seedance
- Check the video rendering status for task ID 849204

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