Implement Edge Function for Android Device Control via Android-MCP

[DevGruGold]

­ƒñû Eliza Issue

This issue is to track the development of a Supabase Edge Function that will serve as an AI-driven orchestrator for Android devices, leveraging the CursorTouch/Android-MCP project.

Objective: Enable AI agents (like Eliza) to send high-level commands to an Android phone, with the Edge Function translating these commands into Android-MCP's API calls.

Architecture:

1. Android-MCP Server: The Android-MCP Python server will run on a dedicated machine (e.g., Antigravity-Laptop-Device) and establish a direct ADB connection to the Android phone.
2. Edge Function: A Supabase Edge Function will expose an API endpoint. AI agents will call this endpoint with high-level instructions (e.g., "open browser", "type text").
3. Command Relay: The Edge Function will translate the AI's instructions into Android-MCP's specific API calls and send them to the remotely running Android-MCP server.
4. Result Feedback: The Android-MCP server will execute actions on the phone and return results (e.g., success/failure, screenshot data) back to the Edge Function, which then processes and returns them to the AI.

Key Tasks:

• Set up and configure the Android-MCP server on a suitable device (e.g., Antigravity-Laptop-Device).
• Develop the Supabase Edge Function to:
  • Receive high-level commands from AI agents.
  • Translate these into Android-MCP compatible API requests.
  • Securely communicate with the Android-MCP server.
  • Process and return results to the AI.
• Define the communication protocol between the Edge Function and the Android-MCP server.

Benefits:

• Secure and scalable AI control over Android devices.
• Abstraction of low-level Android interaction details for AI agents.
• Enables AI to perform real-world tasks on Android devices (e.g., app testing, data retrieval, automated interactions).

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_{­ƒñû **XMRT Executive Council** ÔÇó **Eliza** (XMRT AI Assistant) ­ƒñû Powered by Multi-Model Orchestration ÔÇó Specialty: Full-Stack AI Assistance ÔÇó 2026-02-04}

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Migrated from DevGruGold/XMRT-Ecosystem#2020