The iOS simulator
your AI agent can
actually drive.

Used by agentic teams shipping iOS

PRIMITIVES

Three functions. That's the whole API.

No DSL. No YAML. No selectors. Your agent reads the simulator state and acts on it the same way a human tester does — only deterministically.

from simdrive import ios_observe

# Capture the current simulator state — screenshot + accessibility tree.
state = ios_observe()
print(state.elements)  # list of (role, label, frame) tuples

from simdrive import ios_act

# Drive the simulator. Coordinates are validated against the
# observed state — no blind taps.
ios_act("tap", target="Sign In")
ios_act("type", text="[email protected]")

from simdrive import ios_record

# Capture a deterministic replay file as the agent works.
with ios_record("smoke.replay.json"):
    ios_act("tap", target="Sign In")
    ios_act("type", text="[email protected]")
# Replay it free, forever, in CI.

HOW IT WORKS

Observe → Act → Record. Then replay.

COMPARISON

Why not Maestro or Appium?

Both are excellent for human-authored tests. SimDrive optimizes for a different caller: an LLM agent that needs structured state in and structured actions out.

MCP INSTALL

Plug into your agent in one config block.

SimDrive ships an MCP server. Add it to your client config — nothing else to install.

# .mcp.json — Claude Code
{
  "mcpServers": {
    "simdrive": {
      "command": "uvx",
      "args": ["simdrive", "mcp"]
    }
  }
}

# ~/.cursor/mcp.json — Cursor
{
  "mcpServers": {
    "simdrive": {
      "command": "uvx",
      "args": ["simdrive", "mcp"]
    }
  }
}

# ~/.continue/config.json — Continue
{
  "experimental": {
    "modelContextProtocolServers": [
      { "transport": { "type": "stdio", "command": "uvx", "args": ["simdrive", "mcp"] } }
    ]
  }
}

PRICING

Free to run. Pay to scale.

Replays are always free. Pricing covers parallel CI, team seats, and priority support.

QUOTES

What developers are saying