mcp-apps

Scaffold and deploy MCP Apps with bundled UI resources and server endpoints.

9|2|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/aussiegingersnap/cursor-skills --skill mcp-apps
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-apps
Source: https://github.com/aussiegingersnap/cursor-skills/tree/main/skills/mcp-apps
Command: npx skills add https://github.com/aussiegingersnap/cursor-skills --skill mcp-apps

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, node, and includes references (resource) components.

What problem does it solve?

MCP Apps enable embedding rich, interactive UI inside AI hosts (Claude Desktop, ChatGPT, and VSCode), allowing tools to render dashboards, forms, and visual interfaces within the conversation instead of plain text.

Core Features & Use Cases

  • Render interactive UIs inside hosts to collect input, visualize data, and control workflows.
  • Bundle a tool with a UI resource (ui:// scheme) and register it on the MCP server to enable rich tool UX.
  • Use cases include building configuration wizards, real-time dashboards, form-driven assistants, and data viewers within chat.

Quick Start

Scaffold a new MCP App project and run the server to expose a UI tool inside an MCP host.

Frequently Asked Questions about mcp-apps

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I render interactive UI inside AI hosts like Claude Desktop or VSCode?

To render interactive UI inside AI hosts, you build an MCP App that bundles a UI resource using the ui:// scheme and registers it on an MCP server for host communication. This enables dashboards and forms within conversations.

What are MCP Apps and when do I need them for tool development?

MCP Apps are applications that embed rich, interactive UI inside AI hosts. You need them when your tools require visual interfaces like configuration wizards, real-time dashboards, form-driven assistants, or data viewers within chat environments.

How do I bundle UI resources with an MCP server to enable visual tool interfaces?

You bundle UI resources with an MCP server by declaring UI metadata and configuring a server-endpoint workflow for host communication. This exposes your tool's visual interface through the ui:// scheme for rendering inside the AI host.

Do I need Python and Node to scaffold and deploy MCP Apps?

Yes, you need both Python and Node installed in your environment to scaffold and deploy MCP Apps. These dependencies are required to run the server and support the tool development workflow for host integration.

Can I use interactive dashboards and forms to collect input within an AI chat conversation?

Yes, you can use interactive dashboards and forms to collect input within an AI chat conversation. MCP Apps allow tools to render rich visual interfaces directly inside hosts to collect user input, visualize data, and control workflows.