by ryaker · MCP Server · ★ 59
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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.
| Stars | 59 |
| Forks | 12 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60/100 |
| Open Issues | 4 |
| Last Updated | 2026-10-29 |
| Created | 2025-09-07 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~13k |
🍎 App Store Connect MCP Server A Model Context Protocol (MCP) server that connects AI assistants like Claude Desktop, Cursor, Windsurf, and VS Code to the Apple App Store Connect API. Automate TestFlight builds, customer review analysis, app metadata updates, and sales reports directly inside your AI coding workflow.
These tools work well together with appstore-connect-mcp for enhanced workflows:
Looking for a appstore-connect-mcp alternative? If you're comparing appstore-connect-mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
An MCP Server for Ollama
Apple developer docs and WWDC transcripts with RAG retrieval and Jev relevance ranking.
Heimdall — MCP server for the Apple App Store Connect API and App Store Server API (StoreKit 2). 902 tools acr
MCP Fusion - The framework for AI-native MCP servers.
Absurdly easy Model Context Protocol Servers in Typescript
ToolHive is an application that allows you to install, manage and run MCP servers and connect them to AI agent
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: