app-store-connect-mcp: Heimdall — MCP server for the Apple App Store Connect API and App Store Server API (StoreKit 2)

by erayendes · MCP Server · ★ 53

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

Security audit verdict: SAFE · quality 67/100

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.

aiapp-reviewsapp-storeapp-store-connectapp-store-server-apiappleappstoreconnectclaudecodexcursor

Quick Facts

Stars53
Forks6
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score67/100
Open Issues15
Last Updated2026-10-26
Created2026-07-19
Platformsclaude-code, cli, codex, mcp, node
Est. Tokens~17k

About app-store-connect-mcp

Heimdall — App Store Connect MCP 🇬🇧 English · 🇹🇷 Türkçe English Manage your entire App Store Connect account from your AI client: apps and metadata, versions and phased releases, TestFlight, subscriptions and in-app purchases, pricing, reviews, Game Center, Xcode Cloud, provisioning, webhooks, and sales and finance reports.

Compatible Skills

These tools work well together with app-store-connect-mcp for enhanced workflows:

  • appshot — semantic(0.36)+complementary+same_lang+similar_pop+shared_platform (62%)

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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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