📷 gopro2cloud

The Free, Zero-Disk, Open-Source Alternative to GoPro Cloud Subscription.

Stream and sync 100+ GB of 4K/5.3K footage from your GoPro directly to Google Drive, Dropbox, OneDrive, or AWS S3 over high-speed USB — with zero laptop disk space and no monthly fees.

Features • Comparison • Quick Start • CLI Usage • AI Agent & MCP • Contributing

💡 Why gopro2cloud?

If you own a GoPro, you already know the frustration:

• GoPro Subscription costs $49.99 – $99.99/year, just to back up footage you already have other cloud storage for (Google One, Microsoft 365, Dropbox, or AWS S3).

• Camera Wi-Fi Auto-Upload is painfully slow, drains your battery, and notoriously causes the camera to overheat while uploading 4K/5.3K video.

• Plugging into your Mac/PC to transfer files manually is broken: macOS Image Capture and MTP drivers frequently freeze or corrupt on single files larger than 4 GB.

• Laptop SSDs run out of space: Offloading a 128 GB or 256 GB microSD card onto a modern MacBook with only 30 GB of free SSD space is physically impossible without tedious manual chunking.

gopro2cloud solves all of this.

When you connect a modern GoPro (HERO 9, 10, 11, 12, 13) via USB-C, it automatically runs an internal high-speed HTTP server over a virtual network interface. gopro2cloud discovers this socket, queries the media catalogue, and streams your master video files directly into your cloud storage at 35–40 MB/s without writing a single byte to your laptop hard drive.

Related MCP server: AI PC Assistant MCP Server

🥊 gopro2cloud vs. GoPro Paid Subscription

✨ Key Features

• 🚀 Direct In-Memory Streaming: Uses rclone copyurl to pipe video bytes straight from the camera socket into your cloud bucket. No local scratch files, no SSD wear.

• 📁 Smart Date & Chapter Organization: Automatically sorts recordings into <remote>/YYYY-MM-DD/ directories. Long 4K recordings split across multiple chapters (GX010475.MP4, GX020475.MP4) are kept together under Chapter 1's date.

• 🔁 Intelligent Deduplication: Checks destination folders before transferring. If a video already exists in your cloud with matching name and size, it is automatically skipped.

• 🛡️ 100% Card Safety: gopro2cloud never deletes or modifies media on your microSD card unless you explicitly request a post-sync purge.

• 🤖 Built for the AI Era (FastMCP): Ships with a native Model Context Protocol (MCP) server and Agent Skills. You can plug in your GoPro and simply say: "Hey, back up my GoPro to Google Drive".

🚀 Quick Start

1. Prerequisites

• Python: 3.11 or newer

• rclone: The universal cloud transfer utility (free & open source)

  # macOS
  brew install rclone
  
  # Linux
  sudo apt install rclone   # or curl https://rclone.org/install.sh | sudo bash
  
  # Windows
  winget install Rclone.Rclone

2. Configure Your Cloud (1 Minute)

Connect your favorite cloud provider to rclone (Google Drive, Dropbox, OneDrive, S3):

rclone config

(Just name your remote, e.g. gdrive, choose your provider, and approve in the browser popup).

3. Install gopro2cloud

git clone https://github.com/alexjiaguo/gopro2cloud.git
cd gopro2cloud
pip install -e .

💻 CLI Usage

Plug your GoPro into your computer using a USB-C cable and turn it ON.

1. Check Status

Verify your camera link, local disk space, and cloud connections:

gopro2cloud status

============================================================
      gopro2cloud: Camera & Cloud Status Check
============================================================
1. Probing GoPro over USB...
   [✓] Connected to GoPro at 172.28.158.51:80
       Found 24 video files (104.78 GB total)

2. Local host storage: 58.12 GB free

3. Cloud remote index: 'gdrive:GoPro'
   [✓] Found 8 existing files already backed up in 'gdrive:GoPro'
============================================================

2. View Categorized Media

Inspect all videos grouped by their real recording date:

gopro2cloud list

Found 24 files (104.78 GB total) across 3 recording dates:

📁 2026-09-27/ (3 files, 4.85 GB)
   • GX010467.MP4      46.4 MB  -> 2026-09-27/GX010467.MP4
   • GX010468.MP4      4.05 GB  -> 2026-09-27/GX010468.MP4
📁 2026-09-28/ (18 files, 77.25 GB)
   • GX010475.MP4     11.06 GB  -> 2026-09-28/GX010475.MP4
   • GX020475.MP4      8.94 GB  -> 2026-09-28/GX020475.MP4  [Chapter 2 kept together]

3. Start Streaming Sync

Stream everything directly to your cloud destination:

# Direct zero-disk streaming into Google Drive
gopro2cloud sync --dest gdrive:GoPro

# Dry-run to preview what will be skipped and uploaded
gopro2cloud sync --dest gdrive:GoPro --dry-run

# Upload to Dropbox or AWS S3 instead
gopro2cloud sync --dest dropbox:GoPro_Backups
gopro2cloud sync --dest s3:my-video-bucket/gopro

🤖 AI Agent & MCP Server

gopro2cloud includes a native FastMCP Server that exposes camera discovery and transfer tools directly to AI coding assistants like Antigravity, Claude Desktop, Cursor, and Windsurf.

Add this to your MCP configuration (claude_desktop_config.json or mcp_config.json):

{
  "mcpServers": {
    "gopro2cloud": {
      "command": "python3",
      "args": ["-m", "gopro2cloud.mcp_server"]
    }
  }
}

Now you can control your camera conversationally:

"Hey, what videos are on my GoPro?"
"Check if my GoPro is connected and sync the newest clips to Google Drive."

🗺️ Roadmap

• Zero-disk direct HTTP streaming (rclone copyurl)

• Intelligent recording date & chapter grouping

• Recursive deduplication (skips existing files)

• Multi-cloud support (Google Drive, Dropbox, OneDrive, S3/R2/B2)

• Standalone CLI + Self-contained integration test suite

• FastMCP Server & AI Agent Skills

• Wireless offload over local Wi-Fi station mode

• Lightweight background menu bar tray icon (macOS / Windows)

• Automatic camera card cleanup option (with strict safety verification)

🌟 Support & Contributing

If this project saved you $50/year on GoPro subscriptions or saved your laptop hard drive from filling up:

• ⭐ Star this repository on GitHub!

• 🍴 Fork it to add support for custom cloud scripts, hooks, or notifications.

• 🐛 Report issues or submit Pull Requests — contributions are warmly welcome!

📄 License

Distributed under the MIT License. Open source and free for everyone.