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Navifare Mcp

navifare/navifare-mcp
authSTDIOregistry active
Summary

Wraps the Navifare REST API to help you find cheaper prices for flights users have already discovered. You get two tools: one that parses natural language flight details (including screenshot text) into structured data, and another that runs the actual price comparison across multiple booking sources. The workflow is straightforward: user shares flight info conversationally, you format it with format_flight_pricecheck_request, then call flight_pricecheck to search for better deals. Currently limited to round-trip flights only, no one-way or open-jaw routing. Requires a Gemini API key for the natural language parsing. Useful when users screenshot or paste flight details and want to know if they can book the same itinerary cheaper elsewhere.

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Navifare 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 calls
  • destructiveHint: 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 calls
  • destructiveHint: false - Tool does not modify or delete data

Input Schema:

  • trip (required): Flight trip details including segments, passengers, and travel class
    • legs (required): Array of flight legs (one for outbound, one for return in round trips)
    • travelClass (required): ECONOMY, PREMIUM_ECONOMY, BUSINESS, or FIRST
    • adults (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: contact@navifare.com
Privacy Inquiries: privacy@navifare.com

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 server
  • scripts/deploy-to-render.sh - Prepare for Render deployment
  • scripts/start-servers.sh - Start multiple servers
  • scripts/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: contact@navifare.com
  • Privacy Inquiries: privacy@navifare.com
  • GitHub Issues: https://github.com/navifare/navifare-mcp

Reference

  • MCP Documentation
  • From REST API to MCP Server
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Configuration

GEMINI_API_KEY*secret

Google Gemini API key for image extraction (required)

NAVIFARE_API_BASE_URL

Navifare API base URL (optional, defaults to https://api.navifare.com/api/v1/price-discovery/flights)

Categories
Search & Web Crawling
Registryactive
Packagenavifare-mcp
TransportSTDIO
AuthRequired
UpdatedNov 6, 2025
View on GitHub

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