migrate-oai-app▌
modelcontextprotocol/ext-apps · updated Apr 8, 2026
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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.
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
How to use migrate-oai-app on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add migrate-oai-app
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches migrate-oai-app from GitHub repository modelcontextprotocol/ext-apps and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate migrate-oai-app. Access the skill through slash commands (e.g., /migrate-oai-app) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★41 reviews- ★★★★★William Okafor· Dec 24, 2024
migrate-oai-app fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Anika Dixit· Dec 16, 2024
Solid pick for teams standardizing on skills: migrate-oai-app is focused, and the summary matches what you get after install.
- ★★★★★Omar Smith· Dec 12, 2024
Registry listing for migrate-oai-app matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Sakshi Patil· Nov 27, 2024
Keeps context tight: migrate-oai-app is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Daniel Kim· Nov 19, 2024
migrate-oai-app fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Nia Nasser· Nov 15, 2024
I recommend migrate-oai-app for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sophia Zhang· Nov 7, 2024
migrate-oai-app has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Omar Zhang· Nov 3, 2024
migrate-oai-app reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Anaya Kim· Oct 26, 2024
migrate-oai-app fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Anika Abebe· Oct 22, 2024
migrate-oai-app is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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