MCP Apps Patterns
This document covers common patterns and recipes for building MCP Apps.
Tools that are private to Apps
Section titled “Tools that are private to Apps”Set {@link types!McpUiToolMeta.visibility Tool._meta.ui.visibility} to ["app"] to make tools only callable by Apps (hidden from the model). This is useful for UI-driven actions like updating server-side state, polling, or other interactions that shouldn’t appear in the model’s tool list.
registerAppTool( server, "update-quantity", { description: "Update item quantity in cart", inputSchema: { itemId: z.string(), quantity: z.number() }, _meta: { ui: { resourceUri: "ui://shop/cart.html", visibility: ["app"], }, }, }, async ({ itemId, quantity }) => { const cart = await updateCartItem(itemId, quantity); return { content: [{ type: "text", text: JSON.stringify(cart) }] }; },);[!NOTE] For full examples that implement this pattern, see:
examples/system-monitor-server/andexamples/pdf-server/.
Polling for live data
Section titled “Polling for live data”For real-time dashboards or monitoring views, use an app-only tool (with visibility: ["app"]) that the App polls at regular intervals.
Vanilla JS:
let intervalId: number | null = null;
async function poll() { const result = await app.callServerTool({ name: "poll-data", arguments: {}, }); updateUI(result.structuredContent);}
function startPolling() { if (intervalId !== null) return; poll(); intervalId = window.setInterval(poll, 2000);}
function stopPolling() { if (intervalId === null) return; clearInterval(intervalId); intervalId = null;}
// Clean up when host tears down the viewapp.onteardown = async () => { stopPolling(); return {};};React:
useEffect(() => { if (!app) return; let cancelled = false;
async function poll() { const result = await app!.callServerTool({ name: "poll-data", arguments: {}, }); if (!cancelled) setData(result.structuredContent); }
poll(); const id = setInterval(poll, 2000); return () => { cancelled = true; clearInterval(id); };}, [app]);[!NOTE] For a full example that implements this pattern, see:
examples/system-monitor-server/.
Reading large amounts of data via chunked tool calls
Section titled “Reading large amounts of data via chunked tool calls”Some host platforms have size limits on tool call responses, so large files (PDFs, images, etc.) cannot be sent in a single response. Use an app-only tool with chunked responses to bypass these limits while keeping the data out of model context.
Server-side: Register an app-only tool that returns data in chunks with pagination metadata:
// Define the chunk response schemaconst DataChunkSchema = z.object({ bytes: z.string(), // base64-encoded data offset: z.number(), byteCount: z.number(), totalBytes: z.number(), hasMore: z.boolean(),});
const MAX_CHUNK_BYTES = 500 * 1024; // 500KB per chunk
registerAppTool( server, "read_data_bytes", { title: "Read Data Bytes", description: "Load binary data in chunks", inputSchema: { id: z.string().describe("Resource identifier"), offset: z.number().min(0).default(0).describe("Byte offset"), byteCount: z .number() .default(MAX_CHUNK_BYTES) .describe("Bytes to read"), }, outputSchema: DataChunkSchema, // Hidden from model - only callable by the App _meta: { ui: { visibility: ["app"] } }, }, async ({ id, offset, byteCount }): Promise<CallToolResult> => { const data = await loadData(id); // Your data loading logic const chunk = data.slice(offset, offset + byteCount);
return { content: [{ type: "text", text: `${chunk.length} bytes at ${offset}` }], structuredContent: { bytes: Buffer.from(chunk).toString("base64"), offset, byteCount: chunk.length, totalBytes: data.length, hasMore: offset + chunk.length < data.length, }, }; },);Client-side: Loop calling the tool until all chunks are received:
interface DataChunk { bytes: string; // base64 offset: number; byteCount: number; totalBytes: number; hasMore: boolean;}
async function loadDataInChunks( id: string, onProgress?: (loaded: number, total: number) => void,): Promise<Uint8Array> { const CHUNK_SIZE = 500 * 1024; // 500KB chunks const chunks: Uint8Array[] = []; let offset = 0; let totalBytes = 0; let hasMore = true;
while (hasMore) { const result = await app.callServerTool({ name: "read_data_bytes", arguments: { id, offset, byteCount: CHUNK_SIZE }, });
if (result.isError || !result.structuredContent) { throw new Error("Failed to load data chunk"); }
const chunk = result.structuredContent as unknown as DataChunk; totalBytes = chunk.totalBytes; hasMore = chunk.hasMore;
// Decode base64 to bytes const binaryString = atob(chunk.bytes); const bytes = new Uint8Array(binaryString.length); for (let i = 0; i < binaryString.length; i++) { bytes[i] = binaryString.charCodeAt(i); } chunks.push(bytes);
offset += chunk.byteCount; onProgress?.(offset, totalBytes); }
// Combine all chunks into single array const fullData = new Uint8Array(totalBytes); let pos = 0; for (const chunk of chunks) { fullData.set(chunk, pos); pos += chunk.length; }
return fullData;}
// Usage: load data with progress updatesloadDataInChunks(resourceId, (loaded, total) => { console.log(`Loading: ${Math.round((loaded / total) * 100)}%`);}).then((data) => { console.log(`Loaded ${data.length} bytes`);});[!NOTE] For a full example that implements this pattern, see:
examples/pdf-server/.
Giving errors back to the model
Section titled “Giving errors back to the model”Server-side: Tool handler validates inputs and returns { isError: true, content: [...] }. The model receives this error through the normal tool call response.
Client-side: If a runtime error occurs (e.g., API failure, permission denied, resource unavailable), use {@link app!App.updateModelContext updateModelContext} to inform the model:
try { const _stream = await navigator.mediaDevices.getUserMedia({ audio: true }); // ... use _stream for transcription} catch (err) { // Inform the model that the app is in a degraded state await app.updateModelContext({ content: [ { type: "text", text: "Error: transcription unavailable", }, ], });}Serving binary blobs via resources
Section titled “Serving binary blobs via resources”Binary content (e.g., video) can be served via MCP resources as base64-encoded blobs. The server returns the data in the blob field of the resource content, and the App fetches it via resources/read for use in the browser.
Server-side: Register a resource that returns binary data in the blob field:
server.registerResource( "Video", new ResourceTemplate("video://{id}", { list: undefined }), { description: "Video data served as base64 blob", mimeType: "video/mp4", }, async (uri, { id }): Promise<ReadResourceResult> => { // Fetch or load your binary data const idString = Array.isArray(id) ? id[0] : id; const buffer = await getVideoData(idString); const blob = Buffer.from(buffer).toString("base64");
return { contents: [{ uri: uri.href, mimeType: "video/mp4", blob }] }; },);Client-side: Fetch the resource and convert the base64 blob to a data URI:
const result = await app.request( { method: "resources/read", params: { uri: `video://${videoId}` } }, ReadResourceResultSchema,);
const content = result.contents[0];if (!content || !("blob" in content)) { throw new Error("Resource did not contain blob data");}
const videoEl = document.querySelector("video")!;videoEl.src = `data:${content.mimeType!};base64,${content.blob}`;[!NOTE] For a full example that implements this pattern, see:
examples/video-resource-server/.
Configuring CSP and CORS
Section titled “Configuring CSP and CORS”See the dedicated CSP & CORS guide in the Security section.
Adapting to host context (theme, styling, fonts, and safe areas)
Section titled “Adapting to host context (theme, styling, fonts, and safe areas)”The host provides context about its environment via {@link types!McpUiHostContext McpUiHostContext}. Use this to adapt your app’s appearance and layout:
- Theme — Use
[data-theme="dark"]selectors orlight-dark()function for theme-aware styles - CSS variables — Use
var(--color-background-primary), etc. in your CSS (see {@link types!McpUiStyleVariableKeyMcpUiStyleVariableKey} for a full list) - Fonts — Use
var(--font-sans)orvar(--font-mono)with fallbacks (e.g.,font-family: var(--font-sans, system-ui, sans-serif)) - Safe area insets — Apply padding to avoid device notches, rounded corners, or system UI overlays
Vanilla JS:
function applyHostContext(ctx: McpUiHostContext) { if (ctx.theme) { applyDocumentTheme(ctx.theme); } if (ctx.styles?.variables) { applyHostStyleVariables(ctx.styles.variables); } if (ctx.styles?.css?.fonts) { applyHostFonts(ctx.styles.css.fonts); } if (ctx.safeAreaInsets) { mainEl.style.paddingTop = `${ctx.safeAreaInsets.top}px`; mainEl.style.paddingRight = `${ctx.safeAreaInsets.right}px`; mainEl.style.paddingBottom = `${ctx.safeAreaInsets.bottom}px`; mainEl.style.paddingLeft = `${ctx.safeAreaInsets.left}px`; }}
// Apply when host context changesapp.onhostcontextchanged = applyHostContext;
// Apply initial context after connectingapp.connect().then(() => { const ctx = app.getHostContext(); if (ctx) { applyHostContext(ctx); }});React:
function MyApp() { const [hostContext, setHostContext] = useState<McpUiHostContext>();
const { app } = useApp({ appInfo: { name: "MyApp", version: "1.0.0" }, capabilities: {}, onAppCreated: (app) => { app.onhostcontextchanged = (ctx) => { setHostContext((prev) => ({ ...prev, ...ctx })); }; }, });
// Set initial host context after connection useEffect(() => { if (app) { setHostContext(app.getHostContext()); } }, [app]);
// Apply styles when host context changes useEffect(() => { if (hostContext?.theme) { applyDocumentTheme(hostContext.theme); } if (hostContext?.styles?.variables) { applyHostStyleVariables(hostContext.styles.variables); } if (hostContext?.styles?.css?.fonts) { applyHostFonts(hostContext.styles.css.fonts); } }, [hostContext]);
return ( <div style={{ background: "var(--color-background-primary)", fontFamily: "var(--font-sans)", paddingTop: hostContext?.safeAreaInsets?.top, paddingRight: hostContext?.safeAreaInsets?.right, paddingBottom: hostContext?.safeAreaInsets?.bottom, paddingLeft: hostContext?.safeAreaInsets?.left, }} > Styled with host CSS variables, fonts, and safe area insets </div> );}[!NOTE] For full examples that implement this pattern, see:
examples/basic-server-vanillajs/andexamples/basic-server-react/.
Entering / exiting fullscreen
Section titled “Entering / exiting fullscreen”Toggle fullscreen mode by calling {@link app!App.requestDisplayMode requestDisplayMode}:
const container = document.getElementById("main")!;const ctx = app.getHostContext();const newMode = ctx?.displayMode === "inline" ? "fullscreen" : "inline";if (ctx?.availableDisplayModes?.includes(newMode)) { const result = await app.requestDisplayMode({ mode: newMode }); container.classList.toggle("fullscreen", result.mode === "fullscreen");}Listen for display mode changes via {@link app!App.onhostcontextchanged onhostcontextchanged} to update your UI:
app.onhostcontextchanged = (ctx) => { // Adjust to current display mode if (ctx.displayMode) { const container = document.getElementById("main")!; const isFullscreen = ctx.displayMode === "fullscreen"; container.classList.toggle("fullscreen", isFullscreen); }
// Adjust display mode controls if (ctx.availableDisplayModes) { const fullscreenBtn = document.getElementById("fullscreen-btn")!; const canFullscreen = ctx.availableDisplayModes.includes("fullscreen"); fullscreenBtn.style.display = canFullscreen ? "block" : "none"; }};In fullscreen mode, remove the container’s border radius so content extends to the viewport edges:
#main { border-radius: var(--border-radius-lg);
&.fullscreen { border-radius: 0; }}[!NOTE] For full examples that implement this pattern, see:
examples/shadertoy-server/,examples/pdf-server/, andexamples/map-server/.
Passing contextual information from the App to the model
Section titled “Passing contextual information from the App to the model”Use {@link app!App.updateModelContext updateModelContext} to keep the model informed about what the user is viewing or interacting with. Structure the content with YAML frontmatter for easy parsing:
const markdown = `---item-count: ${itemList.length}total-cost: ${totalCost}currency: ${currency}---
User is viewing their shopping cart with ${itemList.length} items selected:
${itemList.map((item) => `- ${item}`).join("\n")}`;
await app.updateModelContext({ content: [{ type: "text", text: markdown }],});[!NOTE] For full examples that implement this pattern, see:
examples/map-server/andexamples/transcript-server/.
Sending large follow-up messages
Section titled “Sending large follow-up messages”When you need to send more data than fits in a message, use {@link app!App.updateModelContext updateModelContext} to set the context first, then {@link app!App.sendMessage sendMessage} with a brief prompt to trigger a response:
const markdown = `---word-count: ${fullTranscript.split(/\s+/).length}speaker-names: ${speakerNames.join(", ")}---
${fullTranscript}`;
// Offload long transcript to model contextawait app.updateModelContext({ content: [{ type: "text", text: markdown }] });
// Send brief trigger messageawait app.sendMessage({ role: "user", content: [{ type: "text", text: "Summarize the key points" }],});[!NOTE] For a full example that implements this pattern, see:
examples/transcript-server/.
Persisting view state
Section titled “Persisting view state”For recoverable view state (e.g., current page in a PDF viewer, camera position in a map), use localStorage with a stable identifier provided by the server.
Server-side: Tool handler generates a unique viewUUID and returns it in CallToolResult._meta.viewUUID:
// In your tool callback, include viewUUID in the result metadata.return { content: [{ type: "text", text: `Displaying PDF viewer for "${title}"` }], structuredContent: { url, title, pageCount, initialPage: 1 }, _meta: { viewUUID: randomUUID(), },};Client-side: Receive the UUID in {@link app!App.ontoolresult ontoolresult} and use it as the storage key:
// Store the viewUUID received from the serverlet viewUUID: string | undefined;
// Helper to save state to localStoragefunction saveState<T>(state: T): void { if (!viewUUID) return; try { localStorage.setItem(viewUUID, JSON.stringify(state)); } catch (err) { console.error("Failed to save view state:", err); }}
// Helper to load state from localStoragefunction loadState<T>(): T | null { if (!viewUUID) return null; try { const saved = localStorage.getItem(viewUUID); return saved ? (JSON.parse(saved) as T) : null; } catch (err) { console.error("Failed to load view state:", err); return null; }}
// Receive viewUUID from the tool resultapp.ontoolresult = (result) => { viewUUID = result._meta?.viewUUID ? String(result._meta.viewUUID) : undefined;
// Restore any previously saved state const savedState = loadState<{ currentPage: number }>(); if (savedState) { // Apply restored state to your UI... }};
// Call saveState() whenever your view state changes// e.g., saveState({ currentPage: 5 });For state that represents user effort (e.g., saved bookmarks, annotations, custom configurations), consider persisting it server-side using app-only tools instead. Pass the viewUUID to the app-only tool to scope the saved data to that view instance.
[!NOTE] For full examples using
localStorage, see:examples/pdf-server/(persists current page) andexamples/map-server/(persists camera position).
Pausing computation-heavy views when offscreen
Section titled “Pausing computation-heavy views when offscreen”Views with animations, WebGL rendering, or polling can consume significant CPU/GPU even when scrolled offscreen. Use IntersectionObserver to pause expensive operations when the view isn’t visible:
// Use IntersectionObserver to pause when view scrolls out of viewconst observer = new IntersectionObserver((entries) => { entries.forEach((entry) => { if (entry.isIntersecting) { animation.play(); // or startPolling(), etc } else { animation.pause(); // or stopPolling(), etc } });});observer.observe(container);
// Clean up when the host tears down the viewapp.onteardown = async () => { observer.disconnect(); animation.pause(); return {};};[!NOTE] For full examples that implement this pattern, see:
examples/shadertoy-server/andexamples/threejs-server/.
Lowering perceived latency
Section titled “Lowering perceived latency”Use {@link app!App.ontoolinputpartial ontoolinputpartial} to receive streaming tool arguments as they arrive. This lets you show a loading preview before the complete input is available, such as streaming code into a <pre> tag before executing it, partially rendering a table as data arrives, or incrementally populating a chart.
const codePreview = document.querySelector<HTMLPreElement>("#code-preview")!;const canvas = document.querySelector<HTMLCanvasElement>("#canvas")!;
app.ontoolinputpartial = (params) => { codePreview.textContent = (params.arguments?.code as string) ?? ""; codePreview.style.display = "block"; canvas.style.display = "none";};
app.ontoolinput = (params) => { codePreview.style.display = "none"; canvas.style.display = "block"; render(params.arguments?.code as string);};[!IMPORTANT] Partial arguments are “healed” JSON — the host closes unclosed brackets/braces to produce valid JSON. This means objects may be incomplete (e.g., the last item in an array may be truncated). Don’t rely on partial data for critical operations; use it only for preview UI.
[!NOTE] For full examples that implement this pattern, see:
examples/shadertoy-server/andexamples/threejs-server/.