Openai Sora2 Mcp
About
MCP API is a Sora2 video watermark removal service based on Model Context Protocol (MCP), enabling seamless integration of Sora2 video watermark removal functionality into workflows of mainstream MCP-compatible tools such as Claude Desktop, OpenAI, Cursor, Dify, n8n, and more. Ge
Details
- Author
- peizhou
- Downloads
- 193
- Categories
- AI
Jump to
- AI-powered smart watermark detection and removal
- Maintains original video quality
- Processing completes in 5 seconds
- Simple configuration with API key
- Compatible with all MCP‑compatible tools
- UUID-based authentication and usage tracking
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Openai Sora2 McpCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Obtain an API key from the MCP API page, then configure your MCP client (e.g., Claude Desktop) by adding the URL https://sora.thirdme.com/api/mcp-sse?key=YOUR_API_KEY to its config file. After configuration, you can ask the AI to remove watermarks from Sora2 video URLs, and it will call the MCP API to return a clean download link.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"openai sora2 mcp": {
"sora-watermark-remover": {
"url": "https://sora.thirdme.com/api/mcp-sse?key=YOUR_API_KEY"
}
}
}
}
McpServers
{
"sora-watermark-remover": {
"url": "https://sora.thirdme.com/api/mcp-sse?key=YOUR_API_KEY"
}
}
MCP API - Sora2 Video Watermark Removal Service
🎯 Product Introduction
MCP API is a Sora2 video watermark removal service based on Model Context Protocol (MCP), enabling seamless integration of Sora2 video watermark removal functionality into workflows of mainstream MCP-compatible tools such as Claude Desktop, OpenAI, Cursor, Dify, n8n, and more. Get started in minutes with simple API key authentication.
🌐 Official Documentation Page: https://sora.thirdme.com/mcp
🚀 Quick Start
Step 1: Get API Key
Visit the MCP API page
Enter your email address
Click the "Generate API Key" button
Copy the generated API key (Keep it secure, it's linked to your subscription and usage quota)
⚠️ Important: Keep your API key secure. Generating a new key will replace your existing key. If you regenerate, please update your MCP configuration.
Step 2: Configure Claude Desktop
Add the following configuration to your Claude Desktop config file mcp.json:
Config File Locations:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Configuration:
{
"mcpServers": {
"sora-watermark-remover": {
"url": "https://sora.thirdme.com/api/mcp-sse?key=YOUR_API_KEY"
}
}
}
Replace YOUR_API_KEY with your actual API key obtained in Step 1.
Step 3: Use in Claude
After configuration, restart Claude Desktop, then you can directly ask Claude to remove watermarks from Sora2 videos:
Example Conversation:
Please remove the watermark from this Sora2 video: https://sora.chatgpt.com/share/xxx
Claude will automatically call the MCP API to process the video and return a download link to the watermark-free video.
✨ Core Features
🤖 AI-Powered Watermark Removal
Smart Detection: AI automatically identifies and removes watermarks from Sora2 videos
Preserve Quality: Maintain original video quality while removing watermarks
Fast Processing: Complete processing in 5 seconds, return watermark-free video links
🔧 Fast Integration
Simple Configuration: Just add configuration file and API key
Wide Compatibility: Supports all MCP-compatible tools (Claude Desktop, OpenAI, Cursor, Dify, n8n, etc.)
Plug and Play: Ready to use immediately after configuration, no additional development required
🔒 Secure & Reliable
UUID Authentication: UUID-based authentication mechanism
Rate Limiting: Prevents abuse and ensures service stability
Usage Tracking: Real-time tracking of API usage and quotas
📊 Shared Subscription
Unified Quota: API access and web version share the same subscription quota
Flexible Usage: Use the same subscription service across multiple platforms and tools
📖 API Reference
Endpoint
GET/POST https://sora.thirdme.com/api/mcp-sse?key=YOUR_API_KEY
Available Tools
remove_watermark
Remove watermark from Sora2 video and get the clean download link. Supports OpenAI Sora video URLs.
Input Parameters:
videoUrl (string): The Sora2 video URL to process
Output: Returns a JSON object containing:
videoUrl: Watermark-free video download link
thumbnailUrl: Video thumbnail link
videoInfo: Detailed video information
Example:
{
"videoUrl": "https://example.com/video.mp4",
"thumbnailUrl": "https://example.com/thumbnail.jpg",
"videoInfo": {
"title": "Video Title",
"duration": 30,
"resolution": "1920x1080"
}
}
Error Codes
Error Code Description
-32001 User not found
-32003 Subscription required or usage limit reached
-32004 Failed to process video
🛠️ Supported Platforms
✅ Claude Desktop
✅ OpenAI (MCP Compatible)
✅ Cursor
✅ Dify
✅ n8n
✅ Other MCP-Compatible Tools
💡 Use Cases
Use Case 1: Batch Process Sora2 Videos
In Claude Desktop, you can process multiple Sora2 videos at once:
Please process and remove watermarks from the following Sora2 videos:
1. https://sora.chatgpt.com/share/video1
2. https://sora.chatgpt.com/share/video2
3. https://sora.chatgpt.com/share/video3
Use Case 2: Integrate into Automation Workflows
In n8n or Dify, you can integrate watermark removal into your automation workflows for batch processing and automated operations.
Use Case 3: Cursor Development Assistant
When developing projects in Cursor, you can directly ask the AI assistant to handle Sora2 video watermark removal tasks without leaving the development environment.
📝 Notes
API Key Security: Keep your API key secure, do not share it with others or commit it to public repositories
Quota Limits: API usage is subject to subscription quota limits, please use responsibly
Video Format: Currently only supports Sora2 video URLs (sora.chatgpt.com/share/xxx format)
Processing Time: Most videos are processed within 5 seconds
Data Security: Processed videos are automatically deleted from the server after 24 hours
❓ FAQ
Q: Where can I get an API key?
A: Visit https://sora.thirdme.com/mcp, enter your email address to generate an API key.
Q: How to test if the API key is valid?
A: After generating a key on the MCP API page, you can use the "Test API Key" feature on the page to verify the key's validity.
Q: Is API usage charged?
A: API usage shares the same subscription quota as the web version. Please refer to the Pricing page for specific pricing.
Q: Do you support other video platforms?
A: Currently mainly supports Sora2 videos (sora.chatgpt.com), more platforms may be supported in the future.
Q: How to handle subscription and quota issues?
A: API access uses the same subscription service as the web version. You can manage subscriptions and view usage on the web version.
📧 Support & Feedback
If you encounter any issues during use or have any suggestions, please contact us:
📧 Email: support@thirdme.com
🌐 Website: https://sora.thirdme.com
📄 API Documentation: https://sora.thirdme.com/mcp
📄 License
This service follows Sora Watermark Remover's Terms of Service and Privacy Policy.
🎉 Start using MCP API and make your AI workflows more powerful!
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