MCP server unifying 51 tools for iOS/Android device control, UI automation, React Native debugging, WebView inspection, and canvas/game-engine automaβ¦
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π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Podium MCP.
One baton. Every instrument.
A single MCP stdio endpoint with 51 tools for iOS (simulator + real) and Android device control, native UI automation, end-to-end flows, trustworthy assertions, React Native debugging, WebView DOM + network inspection, and a no-vision canvas/WebGL brain for Pixi/Konva/Fabric/Phaser/Three/Babylon (validated live in WebKit) β plus an experimental engine bridge for instrumented Unity/GL builds (AltTester) β one connection instead of half a dozen servers.
One prompt β podium drives Safari live β types the URL β explores the profile β opens a repo. Footage captured on a live iPhone 16 Pro simulator.
A podium is where a maestro stands β one place to conduct the whole orchestra. This MCP server unifies eight capability sets behind a single stdio endpoint:
simctl), real iPhones (devicectl), and Android (adb) behind one platform-tagged device model.idb/mobilecli with a Maestro fallback (no per-gesture JVM spin-up).WKWebView DOM to tap coordinates, evaluate JS, drive navigation, and capture in-page HTTP traffic as JSON/HAR.adb (gestures + uiautomator hierarchy); real iOS via devicectl lifecycle + an opt-in WebDriverAgent backend.window.__podiumEngine WebGL bridge) β code-complete + mock-tested, not yet run against a live Unity build.Rather than wiring several MCP servers into every client config, podium-mcp exposes everything behind one connection, with a shared execFile layer (no shell), consistent structured errors, automatic retry around Maestro's iOS-driver flakiness, and a single health-check tool to confirm what's available on the host.
Driving a React Native app end-to-end usually means juggling several MCP servers β one for device/app control, one for UI flows, one for Metro/debugger logs, another for WebView inspection β each with its own config entry, quirks, and failure modes. podium-mcp collapses that into one server with:
execFile-based command runner (no shell β arguments are passed verbatim),adb) is absent,Podium is built on two choices that make it fast and cheap: it drives UIs as structured data β never screenshots β and routes gestures through a native backend with no per-action JVM spin-up.
A screenshot-driven agent sends an image to a vision model on every step. Podium returns a compact structured element list instead. On an equivalent 8-step mobile flow (1179Γ2556 screenshots vs ~20-element lists):
| Approach | Per step | 8-step flow |
|---|---|---|
| Screenshot / vision loop | ~2,070 tokens | 16,557 tokens |
| Podium β no-vision, structured | ~390 tokens | 3,117 tokens |
| Savings | 5.3Γ | β13,440 tokens (β81%) |
The gap compounds with every step β a 30-step session runs roughly 62k vs 12k input tokens. On top of per-step cost, the full 51-tool schema travels with every request (~3,612 tokens, ~71/tool); Podium keeps tool descriptions lean so the tool block never dominates the context window.
For canvas / WebGL UIs the advantage is structural, not just cheaper: the Canvas Brain addresses objects by name and text, where a screenshot-only agent must re-analyze pixels on every frame.
Gestures route through idb / mobilecli instead of spinning up Maestro's JVM
per action (measured on a live iPhone 16 Pro simulator):
| Operation | Maestro (per-call JVM) | Podium native | Speedup |
|---|---|---|---|
tap_on | ~14.7 s | ~0.6 s | ~24Γ |
inspect_screen | ~8.9 s | ~0.9 s | ~10Γ |
All 51 tools β device & app control, UI automation, declarative Maestro flows, evidenced assertions, WebView DOM + network capture, React Native / Metro debugging, and no-vision canvas/WebGL automation (plus an experimental engine bridge for instrumented Unity/GL) β sit behind a single stdio endpoint, replacing the usual stack of half a dozen separate MCP servers.
Token figures are heuristic estimates (~4 chars/token; Anthropic's ~750 px/token image formula) β reproduce with
npm run token-bench, or swap in the Anthropiccount_tokensAPI for exact counts. Speed figures were measured on a live iPhone 16 Pro simulator (npm run benchmark).
xcrun, simctl)fetch and WebSocket; .npmrc sets engine-strict=true)mobilecli β bundled automatically as an npm dependency; the default native gesture + WebView backend (no separate install)idb (idb + idb_companion) β preferred native gesture backend when both are present; auto-detectedPATH (or at ~/.maestro/bin) β the run_flow engine and the gesture fallback pathmetro_* debugging toolsadb β adb paths are detection-only and degrade gracefully when absentPlatform scope (v0.3.0): podium automates iOS simulators, real iPhones (
devicectllifecycle + opt-in WebDriverAgent), and Android emulators/devices (adbgestures +uiautomatorhierarchy).device_listtags each target with its platform and the backend is selected per target. When a toolchain (e.g.adb) is absent, those paths degrade to an informative result instead of failing.
No manual config β one-time marketplace setup, then install:
The plugin auto-starts the MCP server (all 51 tools) and ships five skills:
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