No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by zelentsov-dev · MCP Server · ★ 61
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is asc-mcp safe to install? View the security audit →
App Store Connect MCP Server A Model Context Protocol server for the App Store Connect API. Manage apps, builds, TestFlight, reviews, and more — directly from Claude. Works with: <img src="https://img.shields.io/badge/VSCo
| Stars | 61 |
| Forks | 11 |
| Language | Swift |
| Category | MCP Server |
| License | MIT |
| Quality Score | 77.9312036530842/100 |
| Last Updated | 2026-08-22 |
| Created | 2025-08-30 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~26k |
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asc-mcp is MCP server for App Store Connect API - 502 tools for apps, builds, TestFlight, subscriptions, Xcode Cloud, and more from Claude, Cursor, VS Code, or any MCP client. It is categorized as a MCP Server with 61 GitHub stars.
asc-mcp is primarily written in Swift. It covers topics such as ai-tools, app-store-connect, claude.
You can find installation instructions and usage details in the asc-mcp GitHub repository at github.com/zelentsov-dev/asc-mcp. The project has 61 stars and 11 forks, indicating an active community.
asc-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to asc-mcp on Agent Skills Hub include app-store-connect-mcp, magaza-mcp, xclaude-plugin. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: