migrate-oai-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.
git clone --depth 1 https://github.com/awslabs/cli-agent-orchestrator /tmp/migrate-oai-app && cp -r /tmp/migrate-oai-app/skills/vendor/ext-apps/migrate-oai-app ~/.claude/skills/migrate-oai-appSKILL.md
# 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:
```bash
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:
1. Build the app using the existing build command
2. Search the resulting HTML, CSS, and JS for **every** origin (not just "external" origins—every network request will need CSP approval)
3. 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
4. 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 `App` instance and register handlers (`ontoolinput`, `ontoolresult`, `onhostcontextchanged`) **before** calling `connect()`. (Events may fire immediately after connection, so handlers must be registered first.)
- Access tool data via handlers: `app.ontoolinput` for `window.openai.toolInput`, `app.ontoolresult` for `window.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 | InCoordinate multiple AI-DLC workflows across repositories and Git worktrees using an evidence-backed portfolio catalog and deterministic workspace tooling. Use when initializing an AI-DLC portfolio workspace, discovering organization or business context, registering projects and dependencies, creating child intents and worktrees, validating dispatch readiness, monitoring parallel AI-DLC sessions, or synthesizing cross-project outcomes.
Author live dashboard UI from an agent via the `emit_ui` MCP tool. Emit
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