mahoraga-mcp 0.2.0

Model Context Protocol server for Mahoraga - AI-powered mobile automation agent

Mahoraga MCP - AI-Powered Mobile Automation

A Model Context Protocol (MCP) server for mobile automation testing with Mahoraga. Control Android devices and run automated tests from any MCP-compatible host using natural language.

Features

• 🤖 AI-Powered Automation: Control your Android device using plain English
• 📱 Device Connection: Works with emulators and physical devices
• ⚙️ Flexible Configuration: Customize AI model, temperature, vision, reasoning, and more
• 🔄 Real-Time Execution: Live progress streaming during task execution
• 🎯 Suite Execution: Run multiple tasks in sequence with retry logic
• 📊 Usage Tracking: Monitor API costs and token usage
• 🔐 Secure: API key authentication via Mahoraga platform

Installation

pip install mahoraga-mcp

All dependencies (including ADB tools, LLM frameworks, and image processing) are automatically installed.

Quick Start

1. Get Your API Key

1. Visit mahoraga.app (or your deployment URL)
2. Sign in with Google
3. Go to Dashboard → API Keys
4. Create a new API key

2. Add to Your MCP Host

Mahoraga MCP works with any MCP-compatible host. Use your host's CLI to add it:

Claude Code

claude mcp add mahoraga mahoraga-mcp

Amp

amp mcp add mahoraga -- mahoraga-mcp

VS Code (Cline)

code --add-mcp '{"name":"mahoraga","command":"mahoraga-mcp"}'

Manual Configuration

If your MCP host doesn't have a CLI, manually add to config file:

Config file locations:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Linux: ~/.config/claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "mahoraga": {
      "command": "mahoraga-mcp"
    }
  }
}

Then restart your MCP host.

3. Start Automating

Ask your AI assistant (via your MCP host):

"Setup Mahoraga and connect to my Android device"
"Configure with my API key: mhg_xxxx..."
"Execute task: Open Settings and enable WiFi"

Available Tools

1. build

Setup and verify all dependencies.

Example:

Can you run the build tool to setup my system for Mahoraga?

2. connect

Connect to an Android device or emulator.

Parameters:

• device_serial (optional): Device serial number

Example:

Connect to my Android device

3. configure

Configure agent execution parameters.

Parameters:

• mahoraga_api_key: Your Mahoraga API key from the web portal
• model: LLM model (e.g., "anthropic/claude-sonnet-4", "openai/gpt-4o")
• temperature: 0-2 (default: 0.2)
• max_steps: Maximum execution steps (default: 15)
• vision: Enable screenshots (default: false)
• reasoning: Enable multi-step planning (default: false)
• reflection: Enable self-improvement (default: false)
• debug: Verbose logging (default: false)

Example:

Configure Mahoraga with my API key mhg_xxx, use Claude Sonnet 4, and enable vision

4. execute

Run an automation task on the device.

Parameters:

• task: Natural language task description

Example:

Execute task: Open Settings and navigate to WiFi settings

5. runsuite

Execute multiple tasks in sequence with retry logic.

Parameters:

• suite_name: Name of the test suite
• tasks: Array of tasks with retry and failure handling options

Example:

Run a test suite with these tasks: [
  {"prompt": "Open Settings", "type": "setup"},
  {"prompt": "Enable WiFi", "type": "test", "retries": 2},
  {"prompt": "Close Settings", "type": "teardown"}
]

6. usage

View API usage statistics and costs.

Example:

Show me my Mahoraga usage statistics

Complete Workflow Example

User: "Setup Mahoraga on my machine"
→ Runs build tool
→ Returns: All dependencies installed ✓

User: "Connect to my Android emulator"
→ Runs connect tool
→ Returns: Connected to emulator-5554 ✓

User: "Configure to use Claude Sonnet 4 with vision and my API key is mhg_xxx..."
→ Runs configure tool
→ Returns: Configuration set ✓

User: "Execute task: Open Instagram and go to my profile"
→ Runs execute tool with live streaming
→ Returns: Task completed ✓

User: "Show me my usage statistics"
→ Runs usage tool
→ Returns: Total cost: $0.15, 10 executions ✓

Requirements

• Python 3.11+ - Required for the MCP server
• Android Device - Emulator or physical device with USB debugging enabled
• Mahoraga API Key - Get from mahoraga.app

Dependencies automatically installed:

• Android Debug Bridge (ADB) - via adbutils
• Mahoraga Portal APK - via apkutils
• LLM frameworks - via llama-index
• Image processing - via pillow

Architecture

mahoraga-mcp/
├── src/
│   ├── server.py            # Main MCP server entry point
│   ├── backend_client.py    # API communication with Mahoraga platform
│   ├── llm_wrapper.py       # LLM integration layer
│   ├── state.py             # Session state management
│   ├── usage_tracker.py     # Usage and cost tracking
│   └── tools/
│       ├── build.py         # Dependency checker and installer
│       ├── connect.py       # Device connectivity
│       ├── configure.py     # Agent configuration
│       ├── execute.py       # Task execution
│       ├── runsuite.py      # Suite execution
│       └── usage.py         # Usage statistics
└── pyproject.toml

Troubleshooting

"No devices found"

• Start Android emulator via Android Studio > AVD Manager
• Connect physical device with USB debugging enabled
• For WiFi debugging: adb tcpip 5555 && adb connect <device-ip>:5555

"Portal not ready"

• The connect tool automatically installs the Portal APK
• If it fails, manually enable the Mahoraga Portal accessibility service in Settings > Accessibility

"Invalid API key"

• Make sure you've run configure with a valid API key from mahoraga.app
• API keys start with mhg_ prefix
• Check your API key hasn't been revoked in the web portal

License

MIT