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remote debug iOS/Android/Unity/Godot/Flutter/RN/Web on real-device.ui-tree/screenshots/taps,tests.
About
remote debug iOS/Android/Unity/Godot/Flutter/RN/Web on real-device.ui-tree/screenshots/taps,tests.
Remote endpoints: streamable-http: https://api.omnidebuglink.dev/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"dev-omnidebuglink-omnidebuglink": {
"url": "https://api.omnidebuglink.dev/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
OmniDebugLink
Remote debugging and automated testing on real devices — from anywhere.
Add a small client SDK to your app, connect it with a device token, and any AI coding tool (Claude Code, Cursor, Codex, Gemini CLI, …) can inspect and drive the running app over Model Context Protocol: dump the UI tree, take screenshots, tap, swipe, type, read logs, measure performance — no USB cable, no shared network, no emulator.
Your App ──wss──> OmniDebugLink relay ──MCP──> AI coding tool
- One outbound WebSocket from the device — works across networks, behind NAT, on real hardware.
- The AI side sees plain MCP tools:
list_devices→run_task/device_status/list_tasks… - One token pair = one device seat. Tokens are per-device; never embed one in a release build — release use goes through the conditional pattern.
Client SDKs
| Platform | Install | Repo |
|---|---|---|
| Unity | Package Manager → add from git URL | omnidebuglink_unity |
| Android | JitPack: com.github.omnidebuglink:omnidebuglink_android:<tag> | omnidebuglink_android |
| Flutter | pubspec git dependency (ref: tag) | omnidebuglink_flutter |
| iOS / macOS | Swift Package (iOS 15+ / macOS 12+) | omnidebuglink_apple_swift |
| React Native | npm i omnidebuglink/omnidebuglink_react_native#<tag> | omnidebuglink_react_native |
| Godot | copy the addons/omni_debug_link/ folder (Godot ≥ 4.2) | omnidebuglink_godot |
| Web | CDN build via jsDelivr (@<tag>) | omnidebuglink_web |
Each SDK repo has the full install steps and task tables for its platform.
Pin a version tag (#vX.Y.Z / ref: / @vX.Y.Z) in production hosts.
Quickstart
-
Create a device token pair at the console (free during the public beta).
-
Connect your app: add the SDK for your platform and start it with the token — freely in debug builds; in release builds only via the conditional pattern (runtime-issued token, never embedded).
-
Add the MCP server to your AI tool (OAuth login in the browser):
claude mcp add --transport http odl https://api.omnidebuglink.dev/mcpWorks with any MCP client: Cursor, Codex CLI, Gemini CLI, …
-
Ask the AI to
list_devicesand start driving the device.
Integrating an SDK into your app
sdk-integration.md is written to be handed to your AI coding tool verbatim — per-platform install and connect snippets, the rules that must not be broken, and a verification checklist. Ask the agent to read it and wire the SDK in.
Building a client for another platform?
Any platform with a WebSocket client can join — the wire protocol is a single JSON frame format:
→ Third-Party Client Development Guide — protocol spec, a portable reference implementation, known pitfalls, and a pre-deployment verification checklist. AI coding agents can implement a compliant client from this guide alone, without reading any SDK source.
Links
- Website · Console
- Third-party client guide
- SDK repositories: see the table above
Reviews
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