ZBS Index What actually exists in applied AI, with the source next to it

mcp server

Icemoon — control a real iPhone with AI

Control real, physical iPhones with AI: screen reading, human-like touch, no jailbreak.

Description as published by the maintainer. Source

  • version 1.0.1
  • active

active — Most recent push to the repository was 2026-08-03.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 0 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-08-03 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Package downloads 276 downloads Package downloads from the npm registry in this window. Includes continuous integration runs, mirrors and automated installs, so it overstates the number of human users. 2026-07-30 to 2026-08-05 npm
Latest published version 1.0.1 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-08-01 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-08-01 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub

Where to get it

Related, by what their authors tagged them

  • Drengr — last commit 2026-08-01, shares ios, ios-automation
    Eyes and hands for AI agents on Android and iOS devices.
  • io.github.ascript-cn/ascript-mcp — last commit 2026-04-30, shares automation, ios-automation
    Control Android/iOS/Windows devices from Claude, Cursor, and other AI tools. iOS without jailbreak.
  • Axint — last commit 2026-08-04, shares ios, macos
    Proof and repair for Apple coding agents: validate Swift, run Xcode evidence, and repair failures.
  • io.github.ai-dashboad/flutter-skill — last commit 2026-07-23, shares automation, ios
    AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero test code needed.
  • App Store Trends API — last commit 2026-08-03, shares ios
    App downloads and chart ranking trends for iOS and Android. Free key at trendsapi.ai
  • com.beacio/mcp — last commit 2026-07-30, shares ios
    MCP server for Web Bluetooth on iOS Safari: scaffolding, UUID lookup, extension detection.
  • com.extentos/mcp-server — last commit 2026-08-01, shares ios
    Build smart-glasses apps with AI agents: scaffold, validate, and simulate before real hardware.
  • Flashcards Open Source App — last commit 2026-08-06, shares ios
    Read and write open-source flashcards through split read/write MCP tools.
  • conorluddy-ios-simulator-skill-ios-simulator-skill — last commit 2026-06-18, shares ios
    29 production-ready scripts for iOS app testing, building, and automation. Provides semantic UI navigation, build autom…
  • io.github.aarwitz/tapp — last commit 2026-07-30, shares ios
    Autonomous QA for iOS + web — agents get a deterministic ship/no-ship verdict, no test code

These share tags the maintainers applied themselves, such as ios, ios-automation, automation, macos. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: ai-agent, automation, claude, device-farm, ios, ios-automation, iphone, macos, mcp, model-context-protocol.

Bring your own setup

We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.

Join ZBS AI Practice Lab

Sources

  1. icemoon-dev/icemoon-mcp on GitHub — GitHub, observed , trust tier 3.
  2. icemoon-mcp download counts — npm, observed , trust tier 3.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.