mcp-server-simulator-ios-idb: A Model Context Protocol server that enables LLMs to interact with iOS simulators through natural language

by InditexTech · MCP Server · ★ 345

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install mcp-server-simulator-ios-idb

git clone https://github.com/InditexTech/mcp-server-simulator-ios-idb.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

claudeclineiosmacosmcptypescript

Quick Facts

Stars345
Forks32
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score70/100
Open Issues8
Last Updated2026-11-06
Created2025-03-18
Platformsclaude-code, mcp, node
Est. Tokens~17k

About mcp-server-simulator-ios-idb

📱 MCP Server for iOS Simulator A Model Context Protocol (MCP) server that enables LLMs to interact with iOS simulators through natural language commands. ℹ️ Overview This MCP server provides a bridge between Large Language Models (LLMs) and iOS simulators, offering comprehensive control through natural language commands.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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