Build a production-ready Model Context Protocol (MCP) server using the NitroStack TypeScript SDK. The server should act as an Airline Web Check-in Assistant that enables AI assistants to help users find and navigate airline web check-in processes. Use modern TypeScript, Node.js, NitroStack, Playwright, Axios, Cheerio, and Zod. Follow NitroStack conventions and best practices for defining tools, resources, prompts, and server configuration. The code should be fully asynchronous, strongly typed…

Elevator pitch Production-ready MCP server enabling AI assistants to guide users through airline web check-in processes seamlessly.

Industry Developer Tools & Travel Tech Integration

Problem

• Users struggle navigating fragmented airline check-in interfaces across carriers.
• AI assistants lack structured access to real-time check-in workflows and requirements.

Solution

• Standardized MCP server abstracts airline check-in navigation via AI-friendly tools.
• Playwright automation + web scraping surfaces live check-in data and step guidance.

Tools

• get-airline-checkin-url: Fetch carrier-specific check-in portal URLs and requirements.
• parse-checkin-form: Extract form fields, validation rules, and submission endpoints.
• validate-passenger-data: Verify booking reference, name, and document formats pre-submission.
• simulate-checkin-flow: Test end-to-end check-in sequence with mock credentials.

Widgets

• /checkin-status: Real-time check-in progress and next-step indicators.
• /airline-finder: Search and filter supported carriers with feature comparison.

Conversation starters

• "Help me check in for my flight on United—what info do you need?"
• "Which airlines support mobile check-in 24 hours before departure?"