migrate-from-openai-app
This skill should be used when the user asks to "migrate from OpenAI Apps SDK", "convert OpenAI App to MCP", "port from window.openai", "migrate from skybridge", "convert openai/outputTemplate", or needs guidance on converting OpenAI Apps SDK applications to MCP Apps SDK. Provides step-by-step migration guidance with API mapping tables.
Install
mkdir -p .claude/skills/migrate-from-openai-app && curl -L -o skill.zip "https://mcp.directory/api/skills/download/5958" && unzip -o skill.zip -d .claude/skills/migrate-from-openai-app && rm skill.zipInstalls to .claude/skills/migrate-from-openai-app
About this skill
Migrate OpenAI App to MCP
Migrate existing OpenAI Apps SDK applications to the MCP Apps SDK (@modelcontextprotocol/ext-apps). The MCP Apps SDK provides a standardized, open protocol for interactive UIs in conversational clients.
Best Practices
- Use your package manager to add dependencies (e.g.,
npm install,pnpm add,yarn add) instead of manually writing version numbers. This lets the package manager resolve the latest compatible versions. Never specify version numbers from memory. - Preemptively add a final todo item with this exact wording: "Re-read the 'Before Finishing' checklist in this skill and address each checkbox individually, stating what you did for each one, before marking this todo complete."
Getting Reference Code
Clone the SDK repository for complete migration documentation and working examples:
git clone --branch "v$(npm view @modelcontextprotocol/ext-apps version)" --depth 1 https://github.com/modelcontextprotocol/ext-apps.git /tmp/mcp-ext-apps
Migration Reference Guide
Read the migration reference guide with "before/after" mapping tables: /tmp/mcp-ext-apps/docs/migrate_from_openai_apps.md
API Reference (Source Files)
Read JSDoc documentation directly from /tmp/mcp-ext-apps/src/*:
| File | Contents |
|---|---|
src/app.ts | App class, handlers, lifecycle |
src/server/index.ts | registerAppTool, registerAppResource |
src/spec.types.ts | Type definitions |
src/react/useApp.tsx | useApp hook for React apps |
src/react/use*.ts* | Other use* hooks for React apps |
Front-End Framework Examples
See /tmp/mcp-ext-apps/examples/basic-server-{framework}/ for basic SDK usage examples organized by front-end 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 |
CSP Investigation
MCP Apps HTML is served as an MCP resource, not as a web page, and runs in a sandboxed iframe with no same-origin server. Every origin must be declared in CSP—including the origin serving your JS/CSS bundles (localhost in dev, your CDN in production). Missing origins fail silently.
Before writing any migration code, build the app and investigate all origins it references:
- Build the app using the existing build command
- Search the resulting HTML, CSS, and JS for every origin (not just "external" origins—every network request will need CSP approval)
- For each origin found, trace back to source:
- If it comes from a constant → universal (same in dev and prod)
- If it comes from an env var or conditional → note the mechanism and identify both dev and prod values
- Check for third-party libraries that may make their own requests (analytics, error tracking, etc.)
Document your findings as three lists, and note for each origin whether it's universal, dev-only, or prod-only:
- resourceDomains: origins serving images, fonts, styles, scripts
- connectDomains: origins for API/fetch requests
- frameDomains: origins for nested iframes
If no origins are found, the app may not need custom CSP domains.
CORS Configuration
MCP clients make cross-origin requests. If using Express, app.use(cors()) handles this.
For raw HTTP servers, configure standard CORS and additionally:
- Allow headers:
mcp-session-id,mcp-protocol-version,last-event-id - Expose headers:
mcp-session-id
Key Conceptual Changes
Server-Side
Use registerAppTool() and registerAppResource() helpers instead of raw server.registerTool() / server.registerResource(). These helpers handle the MCP Apps metadata format automatically.
See /tmp/mcp-ext-apps/docs/migrate_from_openai_apps.md for server-side mapping tables.
Client-Side
The fundamental paradigm shift: OpenAI uses a synchronous global object (window.openai.toolInput, window.openai.theme) that's pre-populated before your code runs. MCP Apps uses an App instance with async event handlers.
Key differences:
- Create an
Appinstance and register handlers (ontoolinput,ontoolresult,onhostcontextchanged) before callingconnect(). (Events may fire immediately after connection, so handlers must be registered first.) - Access tool data via handlers:
app.ontoolinputforwindow.openai.toolInput,app.ontoolresultforwindow.openai.toolOutput. - Access host environment (theme, locale, etc.) via
app.getHostContext().
For React apps, the useApp hook manages this lifecycle automatically—see basic-server-react/ for the pattern.
See /tmp/mcp-ext-apps/docs/migrate_from_openai_apps.md for client-side mapping tables.
Features Not Yet Available in MCP Apps
These OpenAI features don't have MCP equivalents yet:
Server-side:
| OpenAI Feature | Status/Workaround |
|---|---|
_meta["openai/toolInvocation/invoking"] / _meta["openai/toolInvocation/invoked"] | Progress indicators not yet available |
_meta["openai/widgetDescription"] | Use app.updateModelContext() for dynamic context |
Client-side:
| OpenAI Feature | Status/Workaround |
|---|---|
window.openai.widgetState / setWidgetState() | Use localStorage or server-side state |
window.openai.uploadFile() / getFileDownloadUrl() | File operations not yet available |
window.openai.requestModal() / requestClose() | Modal management not yet available |
window.openai.view | Not yet available |
Before Finishing
Slow down and carefully follow each item in this checklist:
-
Search for and migrate any remaining server-side OpenAI patterns:
Pattern Indicates "openai/Old metadata keys → _meta.ui.*text/html+skybridgeOld MIME type → RESOURCE_MIME_TYPEconstanttext/html;profile=mcp-appNew MIME type, but prefer RESOURCE_MIME_TYPEconstant_domains"or_domains:snake_case CSP → camelCase ( connect_domains→connectDomains) -
Search for and migrate any remaining client-side OpenAI patterns:
Pattern Indicates window.openai.toolInputOld global → params.argumentsinontoolinputhandlerwindow.openai.toolOutputOld global → params.structuredContentinontoolresultwindow.openaiOld global API → Appinstance methods -
For each origin from your CSP investigation, show where it appears in the
registerAppResource()CSP config. Every origin from the CSP investigation (universal, dev-only, prod-only) must be included in the CSP config—MCP Apps HTML runs in a sandboxed iframe with no same-origin server. If an origin was not included in the CSP config, add it now. -
For each conditional (dev-only, prod-only) origin from your CSP investigation, show the code where the same configuration setting (env var, config file, etc.) controls both the runtime URL and the CSP entry. If the CSP has a hardcoded origin that should be conditional, fix it now—the app must be production-ready.
Testing
Using basic-host
Test the migrated app 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
Verify Runtime Behavior
Once the app loads in basic-host, confirm:
- App loads without console errors
ontoolinputhandler fires with tool argumentsontoolresulthandler fires with tool result
More by modelcontextprotocol
View all skills by modelcontextprotocol →You might also like
flutter-development
aj-geddes
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
drawio-diagrams-enhanced
jgtolentino
Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.
ui-ux-pro-max
nextlevelbuilder
"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."
godot
bfollington
This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
nano-banana-pro
garg-aayush
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
fastapi-templates
wshobson
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Related MCP Servers
Browse all serversUnlock seamless Figma to code: streamline Figma to HTML with Framelink MCP Server for fast, accurate design-to-code work
Official Laravel-focused MCP server for augmenting AI-powered local development. Provides deep context about your Larave
Safely connect cloud Grafana to AI agents with MCP: query, inspect, and manage Grafana resources using simple, focused o
Empower your workflows with Perplexity Ask MCP Server—seamless integration of AI research tools for real-time, accurate
Boost your productivity by managing Azure DevOps projects, pipelines, and repos in VS Code. Streamline dev workflows wit
Boost AI coding agents with Ref Tools—efficient documentation access for faster, smarter code generation than GitHub Cop
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.