MobAI MCP Server

MCP (Model Context Protocol) server for MobAI — AI-powered mobile device automation. Lets AI assistants (Claude Code, Cursor, Windsurf, Cline, and other MCP-compatible tools) control Android and iOS devices, emulators, and simulators via a single DSL-first interface.

How it works

All device interaction is batched through one primary tool: execute_dsl. Instead of exposing dozens of fine-grained tools (tap, swipe, type…), the server accepts a JSON script describing a sequence of actions with predicates, assertions, waits, and conditional branches. This keeps round-trips low and encodes retry/failure strategies server-side.

A small set of companion tools handles device discovery, screenshots, app management, and running .mob test files.

Prerequisites

• Node.js 18+
• MobAI desktop app running locally (HTTP API on 127.0.0.1:8686)
• A connected Android or iOS device, emulator, or simulator

Installation

Claude Code

claude mcp add mobai -- npx -y mobai-mcp

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "mobai": {
      "command": "npx",
      "args": ["-y", "mobai-mcp"]
    }
  }
}

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):

{
  "mcpServers": {
    "mobai": {
      "command": "npx",
      "args": ["-y", "mobai-mcp"]
    }
  }
}

Windsurf / Cline / other MCP clients

The server speaks stdio — use your client's generic MCP configuration:

{
  "command": "npx",
  "args": ["-y", "mobai-mcp"]
}

Tools

Device management

Screenshots

Apps

Automation

Test management

Tests are .mob files on disk inside project directories. You read, write, and edit them directly using your assistant's filesystem tools — MobAI watches for changes and updates the UI live. MCP is only needed to discover projects and run tests.

Resources

Read these before attempting any device interaction — they describe the DSL schema, action set, predicates, failure strategies, and .mob syntax.

Example

Open the iOS Settings app, navigate to Wi-Fi, and verify the toggle exists:

{
  "version": "0.2",
  "steps": [
    {"action": "open_app", "bundle_id": "com.apple.Preferences"},
    {"action": "wait_for", "predicate": {"text": "Settings"}, "timeout_ms": 3000},
    {"action": "tap", "predicate": {"text_contains": "Wi-Fi"}},
    {"action": "wait_for", "predicate": {"type": "switch"}, "timeout_ms": 3000},
    {"action": "assert_exists", "predicate": {"type": "switch"}},
    {"action": "observe", "include": ["ui_tree"]}
  ]
}

Pass this as the commands argument (a JSON string) to execute_dsl along with a device_id from list_devices.

Troubleshooting

"Connection refused" / "Could not reach the MobAI desktop app" — Make sure the MobAI desktop app is installed and running, and the API is reachable at http://127.0.0.1:8686. If you don't have it yet, download and install it from https://mobai.run/download.

"Bridge not running" — Call start_bridge first. The iOS bridge can take up to a minute to come up.

Screenshots not visible — get_screenshot saves to /tmp/mobai/screenshots/ by default and returns the file path. Use your assistant's file-reading capability to view them. DSL observe screenshots are extracted from the response and saved to the same directory.

Development

git clone https://github.com/MobAI-App/mobai-mcp.git
cd mobai-mcp
npm install
npm run build
node dist/index.js

License

Apache 2.0 — see LICENSE.