SoraMCP

# SoraMCP

<!-- mcp-name: io.github.AceDataCloud/mcp-sora -->

[![PyPI version](https://img.shields.io/pypi/v/mcp-sora.svg)](https://pypi.org/project/mcp-sora/)
[![PyPI downloads](https://img.shields.io/pypi/dm/mcp-sora.svg)](https://pypi.org/project/mcp-sora/)
[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![MCP](https://img.shields.io/badge/MCP-Compatible-green.svg)](https://modelcontextprotocol.io)

A [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server for AI video generation using [Sora](https://openai.com/sora) through the [AceDataCloud API](https://platform.acedata.cloud).

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

## Features

- **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

## Tool Reference

| Tool | Description |
|------|-------------|
| `sora_generate_video` | Generate an AI video from a text prompt using Sora. |
| `sora_generate_video_from_image` | Generate an AI video from reference images using Sora (Image-to-Video). |
| `sora_generate_video_with_character` | Generate an AI video featuring a character from a reference video. |
| `sora_generate_video_async` | Generate an AI video asynchronously with callback notification. |
| `sora_generate_video_v2` | Generate an AI video using Sora Version 2 (partner channel). |
| `sora_generate_video_v2_async` | Generate an AI video asynchronously using Sora Version 2 with callback. |
| `sora_get_task` | Query the status and result of a video generation task. |
| `sora_get_tasks_batch` | Query multiple video generation tasks at once. |
| `sora_list_models` | List all available Sora models and their capabilities. |
| `sora_list_actions` | List all available Sora API actions and corresponding tools. |

## Quick Start

### 1. Get Your API Token

1. Sign up at [AceDataCloud Platform](https://platform.acedata.cloud)
2. Go to the [API documentation page](https://platform.acedata.cloud/documents/99a24421-2e22-4028-8201-e19cb834b67e)
3. Click **"Acquire"** to get your API token
4. Copy the token for use below

### 2. Use the Hosted Server (Recommended)

AceDataCloud hosts a managed MCP server — **no local installation required**.

**Endpoint:** `https://sora.mcp.acedata.cloud/mcp`

All requests require a Bearer token. Use the API token from Step 1.

#### Claude.ai

Connect directly on [Claude.ai](https://claude.ai) with OAuth — **no API token needed**:

1. Go to Claude.ai **Settings → Integrations → Add More**
2. Enter the server URL: `https://sora.mcp.acedata.cloud/mcp`
3. Complete the OAuth login flow
4. Start using the tools in your conversation

#### Claude Desktop

Add to your config (`~/Library/Application Support/Claude/claude_desktop_config.json` on macOS):

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

#### Cursor / Windsurf

Add to your MCP config (`.cursor/mcp.json` or `.windsurf/mcp.json`):

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

#### VS Code (Copilot)

Add to your VS Code MCP config (`.vscode/mcp.json`):

```json
{
  "servers": {
    "sora": {
      "type": "streamable-http",
      "url": "https://sora.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
```

Or install the [Ace Data Cloud MCP extension](https://marketplace.visualstudio.com/items?itemName=acedatacloud.acedatacloud-mcp) for VS Code, which registers the hosted MCP servers with one-click setup.

#### JetBrains IDEs

1. Go to **Settings → Tools → AI Assistant → Model Context Protocol (MCP)**
2. Click **Add** → **HTTP**
3. Paste:

```json
{
  "mcpServers": {
    "sora": {
      "url": "https://sora.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
```


#### Claude Code

Claude Code supports MCP servers natively:

```bash
claude mcp add sora --transport http https://sora.mcp.acedata.cloud/mcp \
  -h "Authorization: Bearer YOUR_API_TOKEN"
```

Or add to your project's `.mcp.json`:

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

#### Cline

Add to Cline's MCP settings (`.cline/mcp_settings.json`):

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

#### Amazon Q Developer

Add to your MCP configuration:

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

#### Roo Code

Add to Roo Code MCP settings:

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

#### Continue.dev

Add to `.continue/config.yaml`:

```yaml
mcpServers:
  - name: sora
    type: streamable-http
    url: https://sora.mcp.acedata.cloud/mcp
    headers:
      Authorization: "Bearer YOUR_API_TOKEN"
```

#### Zed

Add to Zed's settings (`~/.config/zed/settings.json`):

```json
{
  "language_models": {
    "mcp_servers": {
      "sora": {
        "url": "https://sora.mcp.acedata.cloud/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_TOKEN"
        }
      }
    }
  }
}
```

#### cURL Test

```bash
# Health check (no auth required)
curl https://sora.mcp.acedata.cloud/health

# MCP initialize
curl -X POST https://sora.mcp.acedata.cloud/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'
```

### 3. Or Run Locally (Alternative)

If you prefer to run the server on your own machine:

```bash
# Install from PyPI
pip install mcp-sora
# or
uvx mcp-sora

# Set your API token
export ACEDATACLOUD_API_TOKEN="your_token_here"

# Run (stdio mode for Claude Desktop / local clients)
mcp-sora

# Run (HTTP mode for remote access)
mcp-sora --transport http --port 8000
```

#### Claude Desktop (Local)

```json
{
  "mcpServers": {
    "sora": {
      "command": "uvx",
      "args": ["mcp-sora"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your_token_here"
      }
    }
  }
}
```

#### Docker (Self-Hosting)

```bash
docker pull ghcr.io/acedatacloud/mcp-sora:latest
docker run -p 8000:8000 ghcr.io/acedatacloud/mcp-sora:latest
```

Clients connect with their own Bearer token — the server extracts the token from each request's `Authorization` header.

## Available Tools

### Video Generation

| Tool                                 | Description                                          |
| ------------------------------------ | ---------------------------------------------------- |
| `sora_generate_video`                | Generate video from a text prompt                    |
| `sora_generate_video_from_image`     | Generate video from reference images                 |
| `sora_generate_video_with_character` | Generate video with a character from reference video |
| `sora_generate_video_async`          | Generate video with callback notification            |

### Tasks

| Tool                   | Description                  |
| ---------------------- | ---------------------------- |
| `sora_get_task`        | Query a single task status   |
| `sora_get_tasks_batch` | Query multiple tasks at once |

### Information

| Tool                | Description                |
| ------------------- | -------------------------- |
| `sora_list_models`  | List available Sora models |
| `sora_list_actions` | List available API actions |

## Usage Examples

### Generate Video from Prompt

```
User: Create a video of a sunset over mountains

Claude: I'll generate a sunset video for you.
[Calls sora_generate_video with prompt="A beautiful sunset over mountains..."]
```

### Generate from Image

```
User: Animate this image of a city skyline

Claude: I'll bring this image to life.
[Calls sora_generate_video_from_image with image_urls and prompt]
```

### Character-based Video

```
User: Use the robot character in a new scene

Claude: I'll create a new scene with the robot character.
[Calls sora_generate_video_with_character with character_url and prompt]
```

## Available Models

| Model        | Max Duration | Quality | Features                      |
| ------------ | ------------ | ------- | ----------------------------- |
| `sora-2`     | 15 seconds   | Good    | Standard generation           |
| `sora-2-pro` | 25 seconds   | Best    | Higher quality, longer videos |

### Video Options

**Size:**

- `small` - Lower resolution, faster generation
- `large` - Higher resolution (recommended)

**Orientation:**

- `landscape` - 16:9 (YouTube, presentations)
- `portrait` - 9:16 (TikTok, Instagram Stories)

**Duration:**

- `10` se