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Migrate Oai App

OrganizationPopular
tldraw
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.

Overview

Publishertldraw
Repositorytldraw
Skill namemigrate-oai-app
Stars
50.8K
Forks
3.6K
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by tldraw on GitHub. Read the source before you install it.

Installation

Install the Migrate Oai App AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/tldraw/tldraw/tree/main/apps/mcp-app/.claude/skills/migrate-oai-app
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/tldraw/tldraw.git /tmp/tldraw
mkdir -p .claude/skills
cp -r /tmp/tldraw/apps/mcp-app/.claude/skills/migrate-oai-app .claude/skills/migrate-oai-app
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Migrate Oai App in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Migrate Oai App on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Migrate Oai App is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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, pnpm 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/*:

FileContents
src/app.tsApp class, handlers, lifecycle
src/server/index.tsregisterAppTool, registerAppResource
src/spec.types.tsType definitions
src/react/useApp.tsxuseApp 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:

TemplateKey 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 FeatureStatus/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 FeatureStatus/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.viewNot yet available

Before Finishing

Slow down and carefully follow each item in this checklist:

  • Search for and migrate any remaining server-side OpenAI patterns:

    PatternIndicates
    "openai/Old metadata keys → _meta.ui.*
    text/html+skybridgeOld MIME type → RESOURCE_MIME_TYPE constant
    text/html;profile=mcp-appNew MIME type, but prefer RESOURCE_MIME_TYPE constant
    _domains" or _domains:snake_case CSP → camelCase (connect_domains → connectDomains)
  • Search for and migrate any remaining client-side OpenAI patterns:

    PatternIndicates
    window.openai.toolInputOld global → params.arguments in ontoolinput handler
    window.openai.toolOutputOld global → params.structuredContent in ontoolresult
    window.openaiOld global API → App instance 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:

bash
# 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:

  1. App loads without console errors
  2. ontoolinput handler fires with tool arguments
  3. ontoolresult handler fires with tool result

Frequently asked questions

What does the Migrate Oai App AI skill do?

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.

Why use Migrate Oai App on TypingMind?

Because you install it once and use it with any model. Migrate Oai App is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Migrate Oai App in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tldraw/tldraw/tree/main/apps/mcp-app/.claude/skills/migrate-oai-app. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Migrate Oai App?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Migrate Oai App?

As many as you like. As long as a model supports skills, you can use Migrate Oai App with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Migrate Oai App AI skill free?

It is published on GitHub by tldraw. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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