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Bing Flights MCP Server

by chonseng

Bing Flights MCP Server

PyPI version Python 3.10+ License: MIT

A Model Context Protocol (MCP) server that scrapes flight information from Bing Flights using Playwright. This project provides both a standalone Python scraper module and an MCP server wrapper for integration with MCP-compatible applications.

πŸ“¦

Features

  • πŸ” Search for one-way and round-trip flights

  • ✈️ Support for multiple passengers (adults, children, infants)

  • πŸ’Ί All cabin classes (Economy, Premium Economy, Business, First)

  • πŸ€– Headless or headed browser modes

  • πŸ“Š Structured JSON responses

  • πŸ”§ Easy integration via MCP protocol

Project Structure

bing-flights-mcp/ β”œβ”€β”€ pyproject.toml # Package configuration β”œβ”€β”€ requirements.txt # Python dependencies β”œβ”€β”€ README.md # This file β”œβ”€β”€ bing_flights_scraper/ # Standalone scraper module β”‚ β”œβ”€β”€ __init__.py β”‚ └── scraper.py β”œβ”€β”€ mcp_server.py # MCP server implementation └── tests/ # Test suite β”œβ”€β”€ __init__.py β”œβ”€β”€ test_mcp.py └── test_e2e.py

Installation

Quick Start (Recommended)

The easiest way to use this MCP server is with uvx:

uvx bing-flights-mcp

This will automatically install the package and its dependencies in an isolated environment.

Installation via pip

You can also install from PyPI:

pip install bing-flights-mcp

After installation, install the Playwright browser:

playwright install chromium

Development Installation

For development or if you want to modify the code:

  1. Clone or download this repository

  2. Create and activate a virtual environment

    On Windows:

    python -m venv venv venv\Scripts\activate

    On macOS/Linux:

    python -m venv venv source venv/bin/activate
  3. Install dependencies

    pip install -r requirements.txt
  4. Install Playwright browsers

    playwright install chromium

Usage

As an MCP Server

Using uvx (Recommended)

If you installed via PyPI, run:

uvx bing-flights-mcp

Or add to your MCP settings configuration:

{ "mcpServers": { "bing-flights": { "command": "uvx", "args": ["bing-flights-mcp"] } } }

Running from Source

If you're developing or running from source:

python mcp_server.py

Available Tools

The MCP server exposes two tools:

1.

Search for flight options from Bing Flights.

Parameters:

  • origin (string, required): Origin airport code (e.g., "SEA")

  • destination (string, required): Destination airport code (e.g., "ICN")

  • departure_date (string, required): Departure date in YYYY-MM-DD format

  • return_date (string, optional): Return date for round-trip searches

  • adults (integer, optional, default=1): Number of adult passengers

  • children (integer, optional, default=0): Number of child passengers

  • infants (integer, optional, default=0): Number of infant passengers

  • cabin_class (integer, optional, default=0): 0=Economy, 1=Premium Economy, 2=Business, 3=First

  • max_results (integer, optional, default=10): Maximum number of results

  • headless (boolean, optional, default=true): Run browser in headless mode

Example MCP Tool Call:

{ "origin": "SEA", "destination": "ICN", "departure_date": "2025-11-30", "return_date": "2025-12-02", "adults": 1, "cabin_class": 0, "max_results": 10, "headless": true }

2.

Check scraper health and configuration.

Example Response:

{ "status": "healthy", "version": "1.0.0", "capabilities": { "one_way_search": true, "round_trip_search": true, "cabin_classes": ["economy", "premium_economy", "business", "first"], "max_results": 50, "headless_mode": true } }

As a Standalone Python Module

You can also use the scraper directly in your Python code:

from bing_flights_scraper import BingFlightsScraper # Create scraper instance scraper = BingFlightsScraper(headless=True) try: # Search for flights results = scraper.search_flights( origin="SEA", destination="ICN", departure_date="2025-11-30", return_date="2025-12-02", adults=1, cabin_class=0, max_results=10 ) # Process results print(f"Found {results['results_count']} flights") for flight in results['flights']: print(f"Price: ${flight['price']['total']}") print(f"Airlines: {', '.join(flight['airlines'])}") print(f"Departure: {flight['outbound']['departure_time']}") print(f"Arrival: {flight['outbound']['arrival_time']}") print(f"Duration: {flight['outbound']['duration']}") print("---") finally: scraper.close()

Response Format

The scraper returns results in the following JSON structure:

{ "search_params": { "origin": "SEA", "destination": "ICN", "departure_date": "2025-11-30", "return_date": "2025-12-02", "trip_type": "round-trip", "passengers": { "adults": 1, "children": 0, "infants": 0 }, "cabin_class": "economy" }, "results_count": 10, "flights": [ { "price": { "total": 1200.00, "currency": "USD", "per_person": 1200.00 }, "airlines": ["Korean Air", "Delta"], "outbound": { "departure_time": "10:30", "arrival_time": "14:45", "duration": "13h 15m", "stops": 1, "layovers": [], "flight_numbers": [] }, "booking_link": "https://www.bing.com/...", "result_index": 1 } ], "timestamp": "2025-10-23T02:19:00Z" }

Configuration Options

Cabin Classes

  • 0 - Economy

  • 1 - Premium Economy

  • 2 - Business

  • 3 - First Class

Browser Modes

  • headless=True - Browser runs in the background (faster, no UI)

  • headless=False - Browser window visible (useful for debugging)

Troubleshooting

Common Issues

Issue: Playwright browser not found

Solution: Run `playwright install chromium`

Issue: Timeout waiting for flight results

Solution: - Check your internet connection - Try with headless=False to see what's happening - Verify the airport codes are valid - Ensure the dates are in the future

Issue: No results returned

Solution: - Verify airport codes are correct (use IATA codes like "SEA", "ICN") - Check that dates are in YYYY-MM-DD format - Try different date ranges - Some routes may not have available flights

Issue: Import errors

Solution: - Ensure virtual environment is activated - Run `pip install -r requirements.txt` again - Verify Python version is 3.10 or higher

Debugging

To debug scraping issues, run with headless=False:

scraper = BingFlightsScraper(headless=False)

This will show the browser window so you can see what's being loaded.

Running Tests

Basic Tests

Run the basic unit tests that verify module imports and URL construction:

python tests/test_mcp.py

End-to-End Tests

Run comprehensive end-to-end tests that perform actual flight searches:

python tests/test_e2e.py

Note: E2E tests make real web requests to Bing Flights and may take several minutes to complete. They include:

  1. Invalid Parameters Test - Verifies error handling

  2. One-Way Search Test - Real search from SEA to ICN

  3. Round-Trip Search Test - Real search from LAX to JFK

  4. Multiple Passengers Test - Search with 2 adults and 1 child

The tests use headless browser mode and future dates to ensure valid searches.

Technical Details

Web Scraping Approach

  • Uses Playwright for browser automation

  • Waits for dynamic content to load

  • Extracts data from Bing Flights result cards

  • Handles multiple selector patterns for robustness

Error Handling

The scraper uses minimal error handling and allows exceptions to propagate:

  • Network errors β†’ Raises exception

  • Timeout errors β†’ Raises PlaywrightTimeoutError

  • Invalid parameters β†’ Raises ValueError

  • Parsing errors β†’ Returns partial results or empty list

This design allows the MCP client to implement appropriate retry logic and error recovery.

Limitations

  • Only returns outbound flight details (return flight info not available on Bing results page)

  • Maximum results limited by what's visible on the initial page load

  • No pagination support (first page results only)

  • Scraping depends on Bing's page structure (may break if they change their HTML)

Dependencies

  • fastmcp>=0.1.0 - MCP server framework

  • playwright>=1.40.0 - Browser automation

  • python-dateutil>=2.8.2 - Date parsing utilities

Contributing

When contributing, please:

  1. Test changes with both headless and headed modes

  2. Verify compatibility with the MCP protocol

  3. Update documentation for new features

  4. Follow existing code style and patterns

License

MIT License - See LICENSE file for details

Disclaimer

This tool scrapes publicly available data from Bing Flights. Please:

  • Use responsibly and respect rate limits

  • Review Bing's Terms of Service

  • Do not use for commercial purposes without proper authorization

  • Be aware that web scraping may break if the website changes

Support

For issues, questions, or contributions, please open an issue on the project repository.

-
security - not tested
A
license - permissive license
-
quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

Enables flight search and price comparison by scraping flight information from Bing Flights. Supports one-way and round-trip searches with customizable passenger counts, cabin classes, and booking details.

  1. Features
    1. Project Structure
      1. Installation
        1. Quick Start (Recommended)
        2. Installation via pip
        3. Development Installation
      2. Usage
        1. As an MCP Server
        2. As a Standalone Python Module
      3. Response Format
        1. Configuration Options
          1. Cabin Classes
          2. Browser Modes
        2. Troubleshooting
          1. Common Issues
          2. Debugging
        3. Running Tests
          1. Basic Tests
          2. End-to-End Tests
        4. Technical Details
          1. Web Scraping Approach
          2. Error Handling
        5. Limitations
          1. Dependencies
            1. Contributing
              1. License
                1. Disclaimer
                  1. Support

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