Emuluxe for AI Agents.
The MCP Server.
The Model Context Protocol (MCP) server allows AI models to programmatically interact with the Emuluxe engine. Give your agents the power to simulate, inspect, and fix UI on real device hardware.
"Claude, can you verify the checkout button alignment on an iPhone 15 Pro and fix the padding if it overflows?"
Autonomous Simulation Capabilities
When LLMs can control hardware emulation, the nature of QA change forever. Bridge the gap between reasoning and rendering.
Agentic Hardware Control
Allow your AI agents (Claude, Gemini, GPT) to programmatically trigger device rotations, network throttling, and hardware signatures.
Visual Context Injection
MCP tools enable models to 'see' the current simulation state via structured DOM snapshots and accessibility tree data.
Automated QA Agents
Build autonomous agents that run visual regression tests and report bugs with deep-linked simulation URLs for manual verification.
Open Standard.
Infinite Scale.
By adopting the Model Context Protocol, Emuluxe enables a standardized interface for any AI model to discover and invoke our mobile simulation tools. No custom API glue code required.
Standardized MCP Tools
A clean set of tool definitions for launching, rotating, and inspecting device simulations.
Visual State Sync
Send visual snapshots to multimodal models for real-time layout auditing and verification.
Local & Cloud Bridging
Agents can interact with both your local dev server and our high-fidelity cloud hardware foundry.
npx @emuluxe/mcp-server --port 8080
# Define tools exported to model
tools:
- name: emuluxe_launch_sim
desc: Launch hardware simulation
- name: emuluxe_set_device
desc: Switch active hardware profile
- name: emuluxe_capture_audit
desc: Get AI-driven layout insights