Clipboard to Supabase MCP Helper
A local agent that monitors the system clipboard, uploads any copied image to Supabase Storage, then writes the public (or signed) URL back to the clipboard.
Features
- Zero-click image hosting: Copy an image, get a URL instantly
- Low latency: Under 800ms from copy to URL
- Cross-platform: Works on macOS, Windows, and Linux
- MCP integration: Expose clipboard image upload as an MCP endpoint
- Auto-start: Configure to run at system startup
- Efficient detection: Hash-based deduplication with low CPU usage
Prerequisites
- Node.js 18+
- Supabase account with Storage enabled
- Platform-specific dependencies:
- macOS:
pngpaste(brew install pngpaste) - Windows/Linux: Native OS clipboard access
- macOS:
Installation
- Clone the repository:
git clone https://github.com/martinbowling/clipboard-to-supabase-mcp-helper.git
cd clipboard-to-supabase-mcp-helper
- Install dependencies:
npm install
- Create a
.envfile based on.env.example:
SUPABASE_URL=https://<project>.supabase.co
SUPABASE_SERVICE_ROLE_KEY=your-service-role-key
BUCKET=media
MCP_PORT=3333
- Test your Supabase connection:
npm run test:supabase
- Build the project:
npm run build
- Install as a system service:
For macOS:
npm run install:macos
For Linux:
npm run install:linux
For Windows:
npm run install:windows
Usage
Once installed and running, the helper will:
- Monitor your clipboard for image changes (polling every 300ms)
- Upload any copied images to your Supabase bucket
- Place the public URL back in your clipboard, ready to paste
Running the Service
The clipboard helper can be run in two modes:
Stdio Mode (Default)
npm start
This runs the MCP server with StdioServerTransport, ideal for command-line usage.
HTTP Mode
npm run start:http
This runs an Express HTTP server on port 3333 (configurable) with a proper REST API endpoint.
MCP Integration
The helper exposes the following MCP endpoints:
Upload Clipboard Image
With HTTP server mode:
POST http://localhost:3333/mcp
Request body:
{
"id": "1",
"jsonrpc": "2.0",
"method": "tool",
"params": {
"name": "upload_clipboard_image",
"input": {}
}
}
Response:
{
"id": "1",
"jsonrpc": "2.0",
"result": {
"content": [
{
"type": "text",
"text": "https://your-project.supabase.co/storage/v1/object/public/media/clips/xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx.png"
}
]
}
}
Cleanup Old Files
The helper also provides an MCP endpoint to manually trigger cleanup of old files.
Request body:
{
"id": "1",
"jsonrpc": "2.0",
"method": "tool",
"params": {
"name": "cleanup_old_files",
"input": {
"days": 30
}
}
}
Response:
{
"id": "1",
"jsonrpc": "2.0",
"result": {
"content": [
{
"type": "text",
"text": "Cleanup completed: Deleted 5 files older than 30 days. Failed: 0."
}
]
}
}
The days parameter is optional. If not provided, it will use the value from the RETENTION_DAYS environment variable.
How It Works
- Change Detection: Polls clipboard every 300ms and computes SHA-1 hash of image data
- Deduplication: Only processes new or changed images based on hash comparison
- Platform Adaptation: Uses platform-specific methods to capture clipboard images
- Supabase Integration: Uploads images to your Supabase bucket with unique UUIDs
- MCP Endpoint: Exposes functionality to AI agents via Model Context Protocol
- Automatic Cleanup: Periodically removes images older than the configured retention period (default: 30 days)
Platform-Specific Notes
macOS
- Requires
pngpaste: Install withbrew install pngpaste - Uses LaunchAgents for auto-start
Windows
- Uses PowerShell’s System.Windows.Forms.Clipboard for image capture
- Uses Windows Registry for auto-start
Linux
- Uses xclip (X11) or wl-paste (Wayland) for clipboard access
- Uses systemd for auto-start
Development
# Run with live reload (stdio mode)
npm run dev
# Run with live reload (HTTP mode)
npm run dev:http
# Build for production
npm run build
# Run stdio version
npm start
# Run HTTP version
npm run start:http
License
MIT
Clipboard Image Uploader
Project Details
- martinbowling/clipboard-to-supabase-mcp-helper
- Last Updated: 5/10/2025
Recomended MCP Servers
Open-source FRED MCP Server (Federal Reserve Economic Data)
强大的MCP翻译服务器!#AiryLarkMCP 🌐 专为专业翻译人员设计: • 三阶段翻译流程:分析规划、精准翻译、全文审校 • 自动识别专业领域术语 • 提供全面翻译质量评估 • 支持多语种互译 • 保持原文风格与专业性 💯 无缝集成Claude/Cursor等支持MCP的AI助手,让AI翻译达到专业水准!
MCP service for downloading Instagram videos
Real-time access to cryptocurrency data from the CoinMarketCap API.
芋道管理后台,基于 Vue3 + Element Plus 实现,支持 RBAC 动态权限、数据权限、SaaS 多租户、Flowable 工作流、三方登录、支付、短信、商城、CRM、ERP、AI 大模型等功能。
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
基于 Model Context Protocol (MCP) 的服务器,提供对神岛引擎开放接口整合工具。
MCP for Ansible, Terraform, LocalStack, and other IaC tools. Create and iterate IaC
The official Python SDK for Model Context Protocol servers and clients
webhook forwarder and inspector by manus





