Windows
Full desktop control, local AI connections and optional cloud relay.
Windows · Android · Linux · MCP
Your rig, now AI controllable.
Control a Quad Cortex® from desktop or phone—and give compatible AI apps a structured, guarded way to understand the rig, make changes and verify the result.
Independent, unofficial software. Not affiliated with, endorsed by or sponsored by Neural DSP.
- Free · Source on GitHub
- Manual and AI control
- Local-first
Desktop
Linux
Native desktop control and local MCP on Ubuntu 24.04 x86_64.
Mobile
Android
Direct USB-host control, touch-first performance tools and remote AI pairing.
iOS
Planned for a future release.
Coming laterWindows and the downloadable Android APK remain on GitHub release v0.1.182. QC Remote is publicly listed on Google Play; invited testers can also use the internal-test opt-in for Android 0.3.37 (build 42). Linux 0.1.187 is available for Ubuntu 24.04 x86_64 with signed GitHub build provenance. It was tested with a physical Quad Cortex on Ubuntu 24.04 under WSL2/Xfce; bare-metal Linux has not been tested. See the setup guide and release notes for installation and verification. QC Remote is also publicly available in Microsoft Store.
How it works
One device. Three ways to control it.
Connect the device to the Windows or Android app, or use the Linux desktop release on Ubuntu 24.04 x86_64. It provides USB HID control and local MCP. The optional cloud relay currently supports remote AI access from a Windows or Android host.
Your device
Choose one QC Remote host
Connect your AI app
Local AI
Windows · LinuxRuns on the same desktop. No cloud relay.
ChatGPT / CodexClaudeAntigravityBionicJanAny MCP-compatible desktop AI app
Remote AI
Windows or AndroidReaches the paired host through the optional relay.
ChatGPTClaudeAny AI app supporting MCP connectors
AI access stays under your control
Choose the maximum access level in QC Remote. The host enforces this access level independently of the AI app.
Read-only
Performance
Modify
Full
The Quad Cortex remains attached to its chosen host. Manual control is available on the Windows/Android releases and in the Linux desktop release; local AI clients are desktop-only. Remote AI currently supports paired Windows or Android hosts. A compatible AI client may ask you to confirm a preset or setlist deletion before sending it. QC Remote does not add a second approval prompt on the paired host, and the relay does not independently verify that a person approved the request.
System requirements
- Quad Cortex and a USB data connection
- Windows x64 laptop or PC
- Android 7.0+ phone with USB host support
- Linux: Ubuntu 24.04 x86_64
- Internet only for remote AI access
Linux also provides local MCP; manual control and local MCP do not require the cloud relay.
AI app compatibility
- Local: any MCP-compatible desktop AI app on Windows or Linux
- Remote: any AI app supporting MCP connectors
- Examples: ChatGPT, Claude, Codex, Antigravity, Bionic and Jan
- Codex CLI, VS Code and other MCP clients
Available features vary by AI app and its MCP support.
Real Android demo
Remote access stays connected in the background
Watch QC Remote connected to a Quad Cortex, then backgrounded while its Android foreground service keeps the optional relay available. The app returns still connected. No device command is issued in this clip.
Open the 16-second demo video ↗How to use it
Operate the rig yourself—or work with AI.
QC Remote is a complete manual controller first. Add an AI client when a conversation is faster than hunting through menus, comparing parameters or building a signal chain from scratch.
Control the device directly
Switch Scenes, engage blocks, edit parameters, set tempo, tune and see the live Grid from the Windows or Android app.
Construct signal chains
Add and configure blocks across the four-row Grid, route signals and shape Scenes manually or with an AI assistant that understands the device model.
Build a clean-to-lead rig with one Scene for each gain stage.
Maintain your preset library
Browse, recall and organize presets and setlists, keep local working copies, and use AI to help audit or explain what is already in a rig.
Find the presets that use this amp and group them into a setlist.
Use AI as a tone assistant
Ask for practical adjustments, learn what a model is based on, or scaffold a starting rig for the character of a familiar song—then refine it by ear.
Give me a starting chain for a spacious, edge-of-breakup chorus tone.
You remain in control. AI actions use explicit, allowlisted tools with live state checks. For a remote preset or setlist deletion, a compatible AI client may ask you to confirm before sending the request. QC Remote does not add a second approval prompt on the paired host, and the relay does not independently verify human approval.
Why we built it
Make a remarkable device even more accessible.
QC Remote began with a simple idea: owners should be able to explore and control their device from the screen and interface that suit the moment.
Control by conversation
Use chat or voice in a compatible AI app to inspect your rig, change a Scene or ask for help shaping a sound.
Learn without hardware
Explore the virtual device and practice building rigs online or offline, even when a Quad Cortex is not connected.
Work across screens
Build and organize presets at your desk, then use your phone for focused control beside the device.
Open to improvement
Explore the public source, report issues and help improve an independent controller and AI interface for device owners.
A note to Neural DSP
You built an incredible device. We hope this software helps more people enjoy and appreciate how versatile it really is.
QC Remote is free and its source is public. It is made with deep respect for the instrument you created—and for the possibilities thoughtful AI control can unlock.
— Freevia
Open by design
Open source. Open to feedback.
The public repository has the source and documentation. Signed Windows and Android downloads and the Linux Debian package with signed GitHub build provenance are linked above. The Android app is on Google Play; invited testers can also use the internal-test opt-in.