Skills_disabled/create-mcp-app/SKILL.md
This skill should be used when the user asks to "create an MCP App", "add a UI to an MCP tool", "build an interactive MCP View", or needs guidance on MCP Apps SDK patterns, UI-resource registration, MCP App lifecycle, or host integration. Provides guidance for building MCP Apps with interactive UIs.
npx skillsauth add sammcj/agentic-coding create-mcp-appInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Build interactive UIs that run inside MCP-enabled hosts like Claude Desktop. An MCP App combines an MCP tool with an HTML resource to display rich, interactive content.
Every MCP App requires two parts linked together:
_meta.ui.resourceUri references the resourceHost calls tool → Server returns result → Host renders resource UI → UI receives result
| Framework | SDK Support | Best For |
|-----------|-------------|----------|
| React | useApp hook provided | Teams familiar with React |
| Vanilla JS | Manual lifecycle | Simple apps, no build complexity |
| Vue/Svelte/Preact/Solid | Manual lifecycle | Framework preference |
Note that if the user prefers to write MCP Servers in Golang or Rust you should ask the user if they have a specific framework in mind for that language and if not help them search for a suitable framework / library that supports MCP Apps.
Adding to existing MCP server:
registerAppTool, registerAppResource from SDK_meta.ui.resourceUriCreating new MCP server:
vite-plugin-singlefileClone the SDK repository for working examples and API documentation:
git clone --branch "v$(npm view @modelcontextprotocol/ext-apps version)" --depth 1 https://github.com/modelcontextprotocol/ext-apps.git /tmp/mcp-ext-apps
Learn and adapt from /tmp/mcp-ext-apps/examples/basic-server-{framework}/:
| Template | Key Files |
|----------|-----------|
| basic-server-vanillajs/ | server.ts, src/mcp-app.ts, mcp-app.html |
| basic-server-react/ | server.ts, src/mcp-app.tsx (uses useApp hook) |
| basic-server-vue/ | server.ts, src/App.vue |
| basic-server-svelte/ | server.ts, src/App.svelte |
| basic-server-preact/ | server.ts, src/mcp-app.tsx |
| basic-server-solid/ | server.ts, src/mcp-app.tsx |
Each template includes:
server.ts with registerAppTool and registerAppResourcevite.config.ts with vite-plugin-singlefilepackage.json with all required dependencies.gitignore excluding node_modules/ and dist/Read JSDoc documentation directly from /tmp/mcp-ext-apps/src/:
| File | Contents |
|------|----------|
| src/app.ts | App class, handlers (ontoolinput, ontoolresult, onhostcontextchanged, onteardown), lifecycle |
| src/server/index.ts | registerAppTool, registerAppResource, tool visibility options |
| src/spec.types.ts | All type definitions: McpUiHostContext, CSS variable keys, display modes |
| src/styles.ts | applyDocumentTheme, applyHostStyleVariables, applyHostFonts |
| src/react/useApp.tsx | useApp hook for React apps |
| src/react/useHostStyles.ts | useHostStyles, useHostStyleVariables, useHostFonts hooks |
| Example | Pattern Demonstrated |
|---------|---------------------|
| examples/shadertoy-server/ | Streaming partial input + visibility-based pause/play (best practice for large inputs) |
| examples/wiki-explorer-server/ | callServerTool for interactive data fetching |
| examples/system-monitor-server/ | Polling pattern with interval management |
| examples/video-resource-server/ | Binary/blob resources |
| examples/sheet-music-server/ | ontoolinput - processing tool args before execution completes |
| examples/threejs-server/ | ontoolinputpartial - streaming/progressive rendering |
| examples/map-server/ | updateModelContext - keeping model informed of UI state |
| examples/transcript-server/ | updateModelContext + sendMessage - background context updates + user-initiated messages |
| examples/basic-host/ | Reference host implementation using AppBridge |
Use npm install to add dependencies rather than manually writing version numbers:
npm install @modelcontextprotocol/ext-apps @modelcontextprotocol/sdk zod
This lets npm resolve the latest compatible versions. Never specify version numbers from memory.
Use tsx as a devDependency for running TypeScript server files:
npm install -D tsx
"scripts": {
"serve": "tsx server.ts"
}
Note: The SDK examples use bun but generated projects should use tsx for broader compatibility.
Register ALL handlers BEFORE calling app.connect():
const app = new App({ name: "My App", version: "1.0.0" });
// Register handlers first
app.ontoolinput = (params) => { /* handle input */ };
app.ontoolresult = (result) => { /* handle result */ };
app.onhostcontextchanged = (ctx) => { /* handle context */ };
app.onteardown = async () => { return {}; };
// Then connect
await app.connect();
Control who can access tools via _meta.ui.visibility:
// Default: visible to both model and app
_meta: { ui: { resourceUri, visibility: ["model", "app"] } }
// UI-only (hidden from model) - for refresh buttons, form submissions
_meta: { ui: { resourceUri, visibility: ["app"] } }
// Model-only (app cannot call)
_meta: { ui: { resourceUri, visibility: ["model"] } }
Vanilla JS - Use helper functions:
import { applyDocumentTheme, applyHostStyleVariables, applyHostFonts } from "@modelcontextprotocol/ext-apps";
app.onhostcontextchanged = (ctx) => {
if (ctx.theme) applyDocumentTheme(ctx.theme);
if (ctx.styles?.variables) applyHostStyleVariables(ctx.styles.variables);
if (ctx.styles?.css?.fonts) applyHostFonts(ctx.styles.css.fonts);
};
React - Use hooks:
import { useApp, useHostStyles } from "@modelcontextprotocol/ext-apps/react";
const { app } = useApp({ appInfo, capabilities, onAppCreated });
useHostStyles(app); // Injects CSS variables to document, making var(--*) available
Using variables in CSS - After applying, use var():
.container {
background: var(--color-background-secondary);
color: var(--color-text-primary);
font-family: var(--font-sans);
border-radius: var(--border-radius-md);
}
.code {
font-family: var(--font-mono);
font-size: var(--font-text-sm-size);
line-height: var(--font-text-sm-line-height);
color: var(--color-text-secondary);
}
.heading {
font-size: var(--font-heading-lg-size);
font-weight: var(--font-weight-semibold);
}
Key variable groups: --color-background-*, --color-text-*, --color-border-*, --font-sans, --font-mono, --font-text-*-size, --font-heading-*-size, --border-radius-*. See src/spec.types.ts for full list.
Always respect safeAreaInsets:
app.onhostcontextchanged = (ctx) => {
if (ctx.safeAreaInsets) {
const { top, right, bottom, left } = ctx.safeAreaInsets;
document.body.style.padding = `${top}px ${right}px ${bottom}px ${left}px`;
}
};
For large tool inputs, use ontoolinputpartial to show progress during LLM generation. The partial JSON is healed (always valid), enabling progressive UI updates.
Spec: ui/notifications/tool-input-partial
app.ontoolinputpartial = (params) => {
const args = params.arguments; // Healed partial JSON - always valid, fields appear as generated
// Use args directly for progressive rendering
};
app.ontoolinput = (params) => {
// Final complete input - switch from preview to full render
};
Use cases:
| Pattern | Example |
|---------|---------|
| Code preview | Show streaming code in <pre>, render on complete (examples/shadertoy-server/) |
| Progressive form | Fill form fields as they stream in |
| Live chart | Add data points to chart as array grows |
| Partial render | Render incomplete structured data (tables, lists, trees) |
Simple pattern (code preview):
app.ontoolinputpartial = (params) => {
codePreview.textContent = params.arguments?.code ?? "";
codePreview.style.display = "block";
canvas.style.display = "none";
};
app.ontoolinput = (params) => {
codePreview.style.display = "none";
canvas.style.display = "block";
render(params.arguments);
};
Pause expensive operations (animations, WebGL, polling) when view scrolls out of viewport:
const observer = new IntersectionObserver((entries) => {
entries.forEach((entry) => {
if (entry.isIntersecting) {
animation.play(); // or: startPolling(), shaderToy.play()
} else {
animation.pause(); // or: stopPolling(), shaderToy.pause()
}
});
});
observer.observe(document.querySelector(".main"));
Request fullscreen via app.requestDisplayMode(). Check availability in host context:
let currentMode: "inline" | "fullscreen" = "inline";
app.onhostcontextchanged = (ctx) => {
// Check if fullscreen available
if (ctx.availableDisplayModes?.includes("fullscreen")) {
fullscreenBtn.style.display = "block";
}
// Track current mode
if (ctx.displayMode) {
currentMode = ctx.displayMode;
container.classList.toggle("fullscreen", currentMode === "fullscreen");
}
};
async function toggleFullscreen() {
const newMode = currentMode === "fullscreen" ? "inline" : "fullscreen";
const result = await app.requestDisplayMode({ mode: newMode });
currentMode = result.mode;
}
CSS pattern - Remove border radius in fullscreen:
.main { border-radius: var(--border-radius-lg); overflow: hidden; }
.main.fullscreen { border-radius: 0; }
See examples/shadertoy-server/ for complete implementation.
app.connect()vite-plugin-singlefile_meta.ui.resourceUrictx.safeAreaInsetscontent array for non-UI hostsontoolinputpartial to show progress during generationTest MCP Apps locally with the basic-host example:
# Terminal 1: Build and run your server
npm run build && npm run serve
# Terminal 2: Run basic-host (from cloned repo)
cd /tmp/mcp-ext-apps/examples/basic-host
npm install
SERVERS='["http://localhost:3001/mcp"]' npm run start
# Open http://localhost:8080
Configure SERVERS with a JSON array of your server URLs (default: http://localhost:3001/mcp).
Send debug logs to the host application (rather than just the iframe's dev console):
await app.sendLog({ level: "info", data: "Debug message" });
await app.sendLog({ level: "error", data: { error: err.message } });
development
Use when answering questions from this machine-learning knowledge base. Triggers: questions about transformers, attention cost and efficiency, and long-context scaling; 'what do we know about attention', 'check the ML wiki'. Read-only querying of compiled knowledge; to add, update, supersede, lint, or audit, use the llm-wiki skill instead.
development
Use when building or maintaining a self-contained personal knowledge base (an LLM wiki) as plain markdown, optionally opened as an Obsidian vault. Triggers: ingesting sources into a wiki, querying wiki knowledge, linting wiki health, auditing article claims against their sources, superseding stale knowledge, 'add to wiki', or any mention of 'LLM wiki' or 'Karpathy wiki'.
tools
Provides guidance and tools for hardware design. Activate when using KiCAD, looking up electronic parts or designing PCBs.
testing
Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise.