- Set stdin=subprocess.DEVNULL across runtime, client, and utility subprocess calls to avoid hijacking the parent process's stdin. - Run awake service initialization asynchronously on a daemon thread in MCP server startup. - Redirect logger header printing to stderr to ensure stdio JSON-RPC purity. - Add unit and lifecycle tests for MCP stdio protocol handshake and stdin isolation.
π Universal MCP Server for ARTEMIS
This directory contains the universal Model Context Protocol (MCP) server for ARTEMIS, enabling seamless mobile device automation inside AI IDEs and agents like Antigravity, Cursor, Claude Code, OpenClaw, and Windsurf.
ποΈ Architecture
mcp_server/
βββ __init__.py # Package exports (mcp, main)
βββ base.py # Shared FastMCP instance
βββ server.py # Server entrypoint (stdio / sse)
βββ rules.md # AI Agent Testing Mindset & system prompt rules for IDEs
βββ background/ # Background process execution
β βββ task_runner.py # Subprocess runner for Artemis Agent
βββ notifiers/ # Multi-environment notification adapters
β βββ base.py # BaseNotifier abstract class
β βββ agentapi.py # Jetski / Antigravity AgentAPI notifier (with session sorting & caching)
β βββ desktop.py # Native OS toast notifier (macOS/Linux/Windows, enabled by default)
β βββ script.py # Universal Script / Command Hook notifier (ARTEMIS_NOTIFY_CMD)
β βββ webhook.py # OpenClaw / CI / Discord / Slack webhook notifier
β βββ file.py # File audit logger (notifications.jsonl)
β βββ composite.py # Multi-channel notification dispatcher
βββ tools/ # Modular standard MCP tools
β βββ task_runner.py # mobile_run_task
β βββ task_manager.py # mobile_manage_task
β βββ device_state.py # mobile_get_device_state
β βββ inspect_trace.py # mobile_inspect_trace
βββ utils/ # Environment, device, and trace utilities
βββ device_utils.py # Cross-platform ADB and emulator resolver
βββ env_utils.py # Python interpreter and process manager
βββ trace_store.py # Traces directory and status manager
π Multi-Platform Notification & Wakeup Support
When you start an asynchronous mobile test via mobile_run_task, Artemis MCP runs the job as a detached background process so the AI agent is not blocked. Upon completion or failure, Artemis dispatches alerts across all available notification channels so that both human developers and AI agents are notified immediately across different platforms:
| Platform / Environment | Primary Notification Mechanism | How It Works & Configuration |
|---|---|---|
| Antigravity / Jetski | Reactive Wakeup (AgentApiNotifier) |
Automatically detects and caches the active IDE session credentials (ANTIGRAVITY_LS_ADDRESS, ANTIGRAVITY_CSRF_TOKEN), sorting candidate processes by creation time to avoid stale PIDs, and calls agentapi send-message to wake up the agent directly in the conversation. |
| Cursor / Windsurf / VS Code / Cline / Roo Code | Native Desktop Toast (DesktopNotifier) + File Audit (FileNotifier) |
Enabled by default across macOS (osascript), Linux (notify-send), and Windows (powershell). Pops up a system notification banner informing the developer whether the task completed or failed. The AI agent inspects <trace_dir>/status.json or uses mobile_manage_task(action="status"). Can be silenced via ARTEMIS_DESKTOP_NOTIFY=false. |
| Claude Code / Desktop | Native Desktop Toast + File Audit | Alerts the user via system desktop notification banner when background execution concludes, while maintaining a complete JSONL audit log in notifications.jsonl. |
| OpenClaw / Slack / Discord / CI/CD | HTTP Webhook (WebhookNotifier) |
Sends structured JSON POST payloads to custom endpoints configured via OPENCLAW_WEBHOOK_URL, MCP_NOTIFICATION_WEBHOOK, or ARTEMIS_WEBHOOK_URL. |
| Universal Custom IDE / CLI Hooks | Custom Script Hook (ScriptNotifier) |
Set ARTEMIS_NOTIFY_CMD="my-script --title '{title}' --message '{message}' --trace-id '{trace_id}'" in your environment to execute any custom command or script upon event completion. |
π§ AI Agent Behavioral Rules (rules.md)
When connecting ARTEMIS to AI coding assistants like Antigravity, Claude Code, Cursor, or Windsurf, providing the assistant with domain-specific testing discipline is critical for generating reliable test code.
The included rules.md file contains the Mobile Testing Mindset (ARTEMIS Integration) guideline. It teaches the AI agent how to properly collaborate with ARTEMIS:
- The Runnable Code Principle & Active Exploration: Instructs the AI to never guess or hallucinate UI transitions. Instead, it must first explore the live app via ARTEMIS MCP tools (
mobile_run_task, etc.) to discover and verify real-world interaction paths before writing test scripts. - Flash vs. Pro Routing Strategy: Guides the AI to choose Flash for rapid, straightforward UI actions (< 30 steps) and Pro for complex multi-agent planning, polling loops, or video/log diagnosis.
- Latency & Timing Compensation: Clarifies the difference between AI exploratory latency (e.g., model decision intervals) and the deterministic timing requirements of final test code.
- "Dynamic-First, Coordinate-Fallback" Locator Pattern: Teaches the AI to prioritize dynamic UI locators (Resource IDs, OCR text, semantics) for layout resilience, while implementing absolute coordinate fallbacks for maximum execution reliability.
How Global Rules & MCP are Installed
When you run uv run artemis mcp --install all (or target a specific IDE like --install cursor, --install claude, etc.), the installer automatically synchronizes both global MCP server configuration and global testing rules into the corresponding user home directories (without creating project-level rule files in your workspace):
- Antigravity / Jetski: Automatically installs global rules to
~/.gemini/rules/artemis.md. - Cursor: Automatically installs global YAML-frontmatter rule file at
~/.cursor/rules/artemis.mdc. - Claude Code / Desktop: Automatically installs global rules to
~/.claude/rules/artemis.md. - Windsurf: Automatically installs global rules to
~/.codeium/windsurf/rules/artemis.md. - VS Code: Automatically installs global rules to
~/.vscode/rules/artemis.md. - Cline / Roo Code: Automatically installs global rules to
~/.cline/rules/artemis.mdand~/.roo/rules/artemis.md. - OpenClaw: Automatically installs global rules to
~/.openclaw/rules/artemis.md.
(Note: If you prefer manual configuration, you can also copy the contents of rules.md into your IDE's system prompt or global rules settings.)
π οΈ MCP Tools Overview
mobile_run_task: Asynchronously launches an autonomous mobile automation task (FlashorPromodel) with optionaldevice_serialtargeting.mobile_manage_task: Manages task lifecycle (status,stop,inject_instruction), returning task state and assigneddevice_serial.mobile_get_device_state: Real-time observer (screenshotor OCR+XMLhierarchy) with optionaldevice_serial.mobile_inspect_trace: Granular trace inspection, visual action overlays, agent reasoning, anddevice_serialtracking.
π± Device Selection & Multi-Device Execution
ARTEMIS supports parallel execution across multiple connected Android devices and emulators:
- Direct Device Specification: Provide
device_serialexplicitly (e.g.device_serial="63191FDKX00062"ordevice_serial="emulator-5554"). Per-device execution locks allow distinct devices to run in parallel. - Automatic Device Selection: Omit
device_serialto let ARTEMIS auto-select an available ready device from the device pool.
- User Choice Priority: When multiple devices/emulators are connected, AI agents should prioritize asking the user which device to run on.
- Device Diagnosis: Inspect connected hardware, authorization status, and serials anytime via
adb devicesoradb devices -l.
π How to Run & Configure
CLI Execution
# Start server over stdio
python -m mcp_server
# Or via Artemis CLI
uv run artemis mcp
IDE Configuration
One-Click Auto Install (Recommended)
Run the automated installer to detect and configure your IDE (Antigravity, Cursor, Claude Code/Desktop, OpenClaw):
uv run artemis mcp --install all
# Or install specifically for Antigravity:
uv run artemis mcp --install antigravity
Manual JSON Config Generation
Run uv run artemis mcp --generate-config antigravity (or all) to output ready-to-use configuration JSON with resolved .venv Python and project paths.