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Merge pull request #2 from GoogleChromeLabs/demos/add-react-flightsearch
Adds the React Flight Search demo
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demos/react-flightsearch/LICENSE

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demos/react-flightsearch/README.md

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# Travel WebMCP Demo
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A React-based flight search application designed to demonstrate **WebMCP** integration. This project showcases how a web application can expose structured tools to an AI agent or automation layer, allowing it to programmatically interact with the UI (searching flights, applying filters, reading results) via a standardized interface.
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## 🚀 Key Features
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- **Flight Search**: Search for flights by origin, destination, dates, and passengers.
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- **Interactive Results**: View flight results with detailed pricing and duration information.
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- **Advanced Filtering**: Filter results by price range, airlines, stops, and departure/arrival times.
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- **WebMCP Integration**: Built-in support for `navigator.modelContext` to register tools for AI agents.
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## 🛠️ Technology Stack
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- **Framework**: [React](https://react.dev/) + [Vite](https://vitejs.dev/)
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- **Language**: [TypeScript](https://www.typescriptlang.org/)
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- **Routing**: [React Router](https://reactrouter.com/)
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- **Styling**: CSS Modules / Vanilla CSS
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- **Components**: Custom components + `rc-slider` for range inputs
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## 🤖 Agent / WebMCP Integration
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This application is instrumented to work with an AI agent (e.g., via a browser extension or specialized browser). It detects the presence of `navigator.modelContext` and registers the following tools:
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1. **`searchFlights`**: Initiates a flight search with structured parameters (origin, destination, date, etc.).
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2. **`listFlights`**: Retrieves the currently displayed list of flights (programmatic access to data).
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3. **`setFilters`**: Applies complex filters (price ranges, specific airlines, time windows) to the results.
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4. **`resetFilters`**: Clears all active filters.
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### How it Works
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The application defines a schema for each tool (input/output) and "registers" them using `modelContext.registerTool()`. When the agent invokes a tool, the application executes the corresponding function (e.g., dispatching a custom event to update the React state), bridging the gap between the AI model and the React UI.
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See [`src/webmcp.ts`](src/webmcp.ts) for the implementation details.
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## 📦 Installation & Usage
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1. **Clone the repository**
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```bash
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git clone <repository-url>
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cd travel-script-tools-demo
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```
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2. **Install dependencies**
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```bash
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npm install
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```
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3. **Run the development server**
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```bash
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npm run dev
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```
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The app will start at `http://localhost:5173` (or similar).
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4. **Build for production**
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```bash
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npm run build
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```
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/**
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* Copyright 2026 Google LLC
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* SPDX-License-Identifier: Apache-2.0
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*/
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import js from "@eslint/js";
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import globals from "globals";
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import reactHooks from "eslint-plugin-react-hooks";
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import reactRefresh from "eslint-plugin-react-refresh";
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import tseslint from "typescript-eslint";
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import { globalIgnores } from "eslint/config";
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export default tseslint.config([
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globalIgnores(["dist"]),
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{
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files: ["**/*.{ts,tsx}"],
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extends: [
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js.configs.recommended,
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tseslint.configs.recommended,
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reactHooks.configs["recommended-latest"],
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reactRefresh.configs.vite,
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],
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languageOptions: {
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ecmaVersion: 2020,
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globals: globals.browser,
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},
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},
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]);
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/**
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* Copyright 2026 Google LLC
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* SPDX-License-Identifier: Apache-2.0
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*/
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const airlines = [
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{ name: "Spirit Airlines", code: "NK" },
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{ name: "Southwest Airlines", code: "WN" },
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{ name: "American Airlines", code: "AA" },
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{ name: "JetBlue Airways", code: "B6" },
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{ name: "United Airlines", code: "UA" },
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{ name: "Delta Air Lines", code: "DL" },
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{ name: "Alaska Airlines", code: "AS" },
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{ name: "Frontier Airlines", code: "F9" },
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];
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const originAirports = ["LHR", "LGW", "STN", "LTN"];
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const destinationAirports = ["JFK", "LGA", "EWR"];
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function getRandomElement(arr) {
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return arr[Math.floor(Math.random() * arr.length)];
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}
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function getRandomTime() {
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const hour = String(Math.floor(Math.random() * 24)).padStart(2, "0");
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const minute = String(Math.floor(Math.random() * 60)).padStart(2, "0");
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return `${hour}:${minute}`;
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}
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function formatDuration(departure, arrival) {
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const dep = new Date(`1970-01-01T${departure}:00`);
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const arr = new Date(`1970-01-01T${arrival}:00`);
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let diff = arr.getTime() - dep.getTime();
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if (diff < 0) {
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diff += 24 * 60 * 60 * 1000;
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}
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const hours = Math.floor(diff / (1000 * 60 * 60));
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const minutes = Math.floor((diff % (1000 * 60 * 60)) / (1000 * 60));
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return `${hours}h ${minutes}m`;
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}
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const flights = [];
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for (let i = 7; i <= 106; i++) {
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const departureTime = getRandomTime();
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const arrivalTime = getRandomTime();
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const airline = getRandomElement(airlines);
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flights.push({
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id: i,
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airline: airline.name,
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airlineCode: airline.code,
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origin: getRandomElement(originAirports),
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destination: getRandomElement(destinationAirports),
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departureTime,
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arrivalTime,
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duration: formatDuration(departureTime, arrivalTime),
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stops: Math.floor(Math.random() * 3),
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price: Math.floor(Math.random() * 800) + 200,
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});
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}
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console.log(JSON.stringify(flights, null, 2));
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<!doctype html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<link rel="icon" type="image/svg+xml" href="/vite.svg" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>WebMCP Travel</title>
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</head>
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<body>
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<div id="root"></div>
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<script type="module" src="/src/main.tsx"></script>
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</body>
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</html>

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