About navifare-mcp
navifare-mcp is an MCP server that checks whether a flight a traveler has already found is available for less. It parses flight details and compares prices across booking sources, supporting round trips with the same origin and destination.
Key features
- 01Parse flight details from natural language
- 02Compare prices across booking sources
- 03Check a previously found flight
- 04Support round trips with matching airports
Use cases
- 01Compare a quoted fare with other sources
- 02Turn conversational flight details into a price-check request
MCP support
Exposes tools to parse flight information and check prices to MCP clients. The production endpoint is https://mcp.navifare.com/mcp.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y navifare-mcpGEMINI_API_KEYSecretGoogle Gemini API key for image extraction (required)NAVIFARE_API_BASE_URLNavifare API base URL (optional, defaults to https://api.navifare.com/api/v1/price-discovery/flights)Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMENavifare MCP Server
Version: 0.1.5
Navifare finds a better price for a specific flight the user already found. Users should provide flight details conversationally, which will be structured into the required format.
Overview
This MCP server wraps the Navifare REST API as MCP tools for flight price comparison. It enables AI assistants like Claude to help users find better prices for flights they've already discovered.
MCP Endpoint
- Production:
https://mcp.navifare.com/mcp - Documentation:
https://www.navifare.com/mcp(Auto-updates from the MCP endpoint) - Learn more about MCP: Model Context Protocol
Tools
format_flight_pricecheck_request
Title: Format Flight Request
Parse and format flight details from natural language text or transcribed image content. Extracts flight information (airlines, flight numbers, dates, airports, prices) and structures it for price comparison. Returns formatted flight data ready for flight_pricecheck, or requests missing information if incomplete.
Annotations:
readOnlyHint:true- Tool only formats/parses data, no external callsdestructiveHint:false- Tool does not modify or delete data
Input Schema:
user_request(required): Flight details in natural language text. Include all available information: flight numbers, airlines, departure/arrival airports and times, dates, prices, passenger counts, and travel class.
Example Request:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "format_flight_pricecheck_request",
"arguments": {
"user_request": "I found an Aeroitalia flight XZ2020 from FCO to MXP leaving tomorrow at 19.31 and returning with XZ2021 MXP to FCO next Friday at 10.11. 1 adult, economy, the best fare was 221 EUR"
}
}
}
flight_pricecheck
Title: Flight Price Check
Search multiple booking sources to find better prices for a specific flight the user has already found. Compares prices across different booking platforms to find cheaper alternatives for the exact same flight details.
Annotations:
readOnlyHint:false- Tool performs searches and may trigger external API callsdestructiveHint:false- Tool does not modify or delete data
Input Schema:
trip(required): Flight trip details including segments, passengers, and travel classlegs(required): Array of flight legs (one for outbound, one for return in round trips)travelClass(required): ECONOMY, PREMIUM_ECONOMY, BUSINESS, or FIRSTadults(required): Number of adult passengers (minimum: 1)children(required): Number of child passengers (minimum: 0)infantsInSeat(required): Number of infants requiring a seat (minimum: 0)infantsOnLap(required): Number of infants on lap (minimum: 0)
source(required): Source identifier for the query (e.g., "Claude", "MCP", "ChatGPT")price(required): Reference price found by the user (e.g., "84.00", "200.50")currency(required): Three-letter ISO currency code (e.g., "EUR", "USD", "GBP")location(required): Two-letter ISO country code for user location (e.g., "ES", "IT", "US"). If unsure, default to "ZZ"
Example Request:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "flight_pricecheck",
"arguments": {
"trip": {
"legs": [
{
"segments": [
{
"airline": "XZ",
"flightNumber": "2020",
"departureAirport": "MXP",
"arrivalAirport": "FCO",
"departureDate": "2025-12-16",
"departureTime": "07:10",
"arrivalTime": "08:25",
"plusDays": 0
}
]
}
],
"travelClass": "ECONOMY",
"adults": 1,
"children": 0,
"infantsInSeat": 0,
"infantsOnLap": 0
},
"source": "MCP",
"price": "84",
"currency": "EUR",
"location": "IT"
}
}
}
Current Limitations
- Round-trip flights only: One-way trips are not yet supported. Requests with a single leg will return an error immediately.
- Same origin/destination: Open-jaw trips (returning to a different airport) are not yet supported. The return flight must depart from the outbound destination and arrive at the outbound origin.
Revenue Share
Revenue share available for qualified partners!
Earn commission on flight bookings made through your integration. Revenue share available for qualified partners.
Compliance
This server complies with Anthropic's MCP Directory Policy. See docs/COMPLIANCE.md for details.
Privacy Policy and Terms of Service: https://navifare.com/terms
Contact: [email protected]
Privacy Inquiries: [email protected]
Environment Variables
The only environment variable you typically need to document for this MCP server is:
GEMINI_API_KEY(required): Google Gemini API key for natural language parsing (used when your integration relies on Gemini for text/image understanding).
Examples
See docs/USAGE_EXAMPLES.md for complete usage examples with detailed workflows.
Documentation
Most documentation is in the docs/ directory (and a few files like this README.md and REPOSITORY_STRUCTURE.md live at the repo root):
Getting Started
- docs/QUICKSTART.md - 5-minute quick start guide
- docs/LOCAL_DEPLOYMENT.md - Comprehensive local deployment guide
- docs/RENDER_DEPLOYMENT_GUIDE.md - Production deployment guide
Reference
- docs/COMPLIANCE.md - Anthropic MCP Directory compliance details
- docs/USAGE_EXAMPLES.md - Complete usage examples
- docs/CLAUDE_SUBMISSION_CHECKLIST.md - Claude submission checklist
- REPOSITORY_STRUCTURE.md - Repository organization
Additional Guides
- docs/NGROK_SETUP.md - ngrok setup for local testing
- docs/IMAGE_INPUT_GUIDE.md - Image handling guide
Testing
Test files are located in the test/ directory. See test/README.md for details about available tests.
Running Tests
# Test with MCP Inspector
npx @modelcontextprotocol/inspector node dist/index.js
# Run specific test
node test/test-mcp.js
Scripts
Helper scripts are in the scripts/ directory:
scripts/start-local.sh- Start local development serverscripts/deploy-to-render.sh- Prepare for Render deploymentscripts/start-servers.sh- Start multiple serversscripts/stop-servers.sh- Stop running servers
Repository Structure
navifare-mcp/
├── src/ # TypeScript source code
├── dist/ # Compiled JavaScript (generated)
├── docs/ # Documentation
├── test/ # Test files
├── scripts/ # Helper scripts
└── [config files] # package.json, Dockerfile, etc.
See REPOSITORY_STRUCTURE.md for detailed structure.
Support
- General Inquiries: [email protected]
- Privacy Inquiries: [email protected]
- GitHub Issues: https://github.com/navifare/navifare-mcp
Reference
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