Variflight MCP Server
Official# Variflight MCP Server
A Model Context Protocol (MCP) server implementation for VariFlight flight information services. This server provides various tools to query flight information, weather data, and flight comfort metrics.
# Variflight API Key
To use the Variflight MCP server, you need to have a Variflight API key. You can get it from [here](https://mcp.variflight.com).
## Installation
```json
{
"mcpServers": {
"variflight": {
"command": "npx",
"args": [
"-y",
"@variflight-ai/variflight-mcp"
],
"env": {
"VARIFLIGHT_API_KEY": "your_api_key_here"
}
}
}
}
```
## Available Tools
### 1. Search Flights by Departure and Arrival
Search direct flights by city or airport code on a specific date. Use city codes like `BJS` or exact airport codes like `PEK`, but do not mix city and airport codes for the same side:
```typescript
searchFlightsByDepArr({
dep: "PEK", // Beijing
arr: "SHA", // Shanghai
date: "2024-03-20"
})
```
### 2. Search Flights by Number
Search a specific flight by flight number and date:
```typescript
searchFlightsByNumber({
fnum: "MU2157",
date: "2024-03-20"
})
```
### 3. Get Flight Transfer Information
Search connecting flight options between departure and arrival cities:
```typescript
getFlightTransferInfo({
depcity: "BJS",
arrcity: "LAX",
depdate: "2024-03-20"
})
```
### 4. Flight Happiness Index
Get comfort-focused details for a known flight, such as punctuality, aircraft type, cabin configuration, meals, and entertainment:
```typescript
flightHappinessIndex({
fnum: "MU2157",
date: "2024-03-20"
})
```
### 5. Real-time Aircraft Location
Track realtime flight location using the aircraft registration number, also called tail number:
```typescript
getRealtimeLocationByAnum({
anum: "B2021"
})
```
### 6. Airport Weather Forecast
Get the 3-day airport weather forecast:
```typescript
getFutureWeatherByAirport({
airport: "PEK"
})
```
### 7. Search Flight Itineraries
Get a natural-language summary with recommended flight options, overall lowest price, shortest duration, and several suggested itineraries:
```typescript
searchFlightItineraries({
depCityCode: "BJS", // Beijing
arrCityCode: "SHA", // Shanghai
depDate: "2025-04-20"
})
```
### 8. Get Flight Prices by Cities
Get structured raw sale-flight data between two cities, with each flight returning cabin-level prices:
```typescript
getFlightPriceByCities({
dep_city: "BJS", // Beijing
arr_city: "SHA", // Shanghai
dep_date: "2026-04-20"
})
```
## License
ISC License - See [LICENSE](LICENSE) for details.
## Author
Variflight (https://mcp.variflight.com)
## Version
Current version: 1.0.3
TDQS
Scored across 8 tools
There is significant overlap between searchFlightItineraries, searchFlightsByDepArr, and getFlightTransferInfo, all involving flight search between locations with date parameters. However, descriptions clarify some distinctions: searchFlightItineraries focuses on purchasable options and pricing, searchFlightsByDepArr handles airport/city flexibility, and getFlightTransferInfo specifically targets transfer information. The flightHappinessIndex stands out as distinct, covering comfort and amenities rather than routing.
Naming is inconsistent with mixed conventions: flightHappinessIndex uses camelCase, while all other tools use snake_case (e.g., getFlightTransferInfo, searchFlightsByDepArr). Verb patterns vary: 'get' (getFlightTransferInfo, getFutureWeatherByAirport, getRealtimeLocationByAnum, getTodayDate) vs. 'search' (searchFlightItineraries, searchFlightsByDepArr, searchFlightsByNumber), with flightHappinessIndex lacking a clear verb. This inconsistency reduces predictability.
With 8 tools, the count is reasonable for a flight information server, covering key aspects like search, transfers, weather, location, and comfort. It's slightly on the higher side but well-scoped, as each tool addresses a specific need without obvious bloat. The domain of flight data supports this number, ensuring agents have necessary operations without being overwhelmed.
The tool set provides good coverage for flight-related queries, including search (by itinerary, departure/arrival, number), transfer info, real-time location, weather, and comfort assessments. Minor gaps exist, such as lack of tools for booking management, flight status updates beyond location, or historical data, but core workflows for information retrieval are well-covered, allowing agents to handle most common requests effectively.