Build ChatGPT apps with MCP servers on Cloudflare Workers, extending ChatGPT with custom tools and interactive HTML/JS widgets.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add jezweb/claude-skills --skill openai-apps-mcpCompatible with
Supported agents
Implements JSON-RPC 2.0 MCP protocol with tool registration, execution, and widget resource serving via ASSETS binding
Requires CORS allowlist for https://chatgpt.com , ui://widget/ URI prefix for widgets, and text/html+skybridge MIME type
Prevents 14 documented issues including CORS blocks, widget 404s, MIME type misconfigurations, SSE timeouts, and Next.js
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionopenai-apps-mcpExecute the skills CLI command in your project's root directory to begin installation:
epx add jezweb/claude-skills --skill openai-apps-mcpFetches openai-apps-mcp from jezweb/claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/openai-apps-mcp
Restart Cursor to activate openai-apps-mcp. Access via /openai-apps-mcpin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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jezweb/claude-skills · Backend · same repo
claude-peers-mcp
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openai-apps-mcp reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for openai-apps-mcp matched our evaluation — installs cleanly and behaves as described in the markdown.
openai-apps-mcp has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in openai-apps-mcp — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
openai-apps-mcp is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
openai-apps-mcp fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: openai-apps-mcp is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added openai-apps-mcp from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in openai-apps-mcp — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: openai-apps-mcp is the kind of skill you can hand to a new teammate without a long onboarding doc.
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