Real-time flight tracking
## FlightAware MCP Server: Real-Time Aviation Intelligence The **FlightAware MCP Server** integrates the world's largest flight tracking platform directly into Google Antigravity, enabling AI assistants to access real-time flight status, historical flight data, airport information, and aviation analytics. This comprehensive integration brings unparalleled aviation data coverage to your development workflow. ### Why FlightAware MCP? - **Global Flight Tracking**: Track flights worldwide with data from ADS-B, FAA, airline, and airport sources combined - **Real-Time Updates**: Access live position, altitude, speed, and estimated arrival times updated every few seconds - **Historical Data**: Analyze past flight patterns, delays, and on-time performance for trend analysis - **Airport Intelligence**: Comprehensive airport data including delays, weather, and operational status - **Fleet Tracking**: Monitor entire fleets with customizable alerts and batch tracking capabilities ### Key Features #### 1. Flight Status ```python from anthropic import Anthropic client = Anthropic() response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Track United flight 123 from SFO to JFK and tell me its current position and ETA" }], tools=[{ "name": "flightaware_track", "description": "Track flight status in real-time" }] ) ``` #### 2. Airport Information ```python # Get airport status and delays response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Check current conditions at LAX including any delays, weather, and ground stop information" }], tools=[{"name": "flightaware_airport", "description": "Access airport information"}] ) ``` #### 3. Historical Analysis ```python # Analyze flight history response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Analyze the on-time performance of this route over the past month and identify delay patterns" }], tools=[{"name": "flightaware_history", "description": "Access historical flight data"}] ) ``` #### 4. Flight Alerts ```python # Set up flight notifications response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Set up alerts for any delays or gate changes on my flight tomorrow" }], tools=[{"name": "flightaware_alerts", "description": "Configure flight alerts"}] ) ``` ### Configuration ```json { "mcpServers": { "flightaware": { "command": "npx", "args": ["-y", "@anthropic/mcp-flightaware"], "env": { "FLIGHTAWARE_API_KEY": "your-flightaware-api-key" } } } } ``` ### Use Cases **Travel Applications**: Build comprehensive travel apps with real-time flight tracking, delay predictions, and alternative route suggestions. **Logistics Coordination**: Track cargo flights and coordinate ground operations based on accurate arrival predictions. **Airport Operations**: Monitor airport conditions, flight schedules, and capacity for operational planning systems. **Travel Expense Management**: Automatically capture flight data for expense reports and travel policy compliance. The FlightAware MCP Server brings comprehensive aviation intelligence to your applications, enabling real-time flight awareness for travel, logistics, and operations management.
{
"mcpServers": {
"flightaware": {
"mcpServers": {
"flightaware": {
"env": {
"AEROAPI_KEY": "YOUR_API_KEY"
},
"args": [
"-y",
"mcp-server-flight-aware-aeroapi"
],
"command": "npx"
}
}
}
}
}