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 modelcontextprotocol · MCP Server · ★ 2.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ext-apps safe to install? View the security audit →
MCP Apps Build interactive UIs for MCP tools — charts, forms, dashboards — that render inline in Claude, ChatGPT and any other compliant chat client. Why · Quickstart · API Docs · Spec · Contributing <a href="https://gith
| Stars | 2,809 |
| Forks | 376 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 69.8058927289476/100 |
| Open Issues | 205 |
| Last Updated | 2026-09-09 |
| Created | 2025-11-21 |
| Platforms | mcp, node |
| Est. Tokens | ~18k |
Looking for a ext-apps alternative? If you're comparing ext-apps 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.
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ext-apps is Official repo for spec & SDK of MCP Apps protocol - standard for UIs embedded AI chatbots, served by MCP servers. It is categorized as a MCP Server with 2.8k GitHub stars.
ext-apps is primarily written in TypeScript. It covers topics such as ai, apps, mcp.
You can find installation instructions and usage details in the ext-apps GitHub repository at github.com/modelcontextprotocol/ext-apps. The project has 2.8k stars and 376 forks, indicating an active community.
The top alternatives to ext-apps on Agent Skills Hub include mcp-use, shadcn-ui-mcp-server, skybridge. 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: