search-webdeveloper-tools

Navifare

by navifare

Navifare: Flight price comparison — compare flight prices across multiple booking sources for cheap flights comparison a

Flight price comparison across multiple booking sources

github stars

0

Multiple booking sources in one searchReal-time price comparison

best for

  • / Travel planning and budget comparison
  • / Building travel booking applications
  • / Price monitoring for frequent travelers
  • / Travel agency workflow automation

capabilities

  • / Search flights across multiple booking sources
  • / Compare prices from airlines and travel agencies
  • / Filter results by price, duration, and stops
  • / Get real-time flight availability
  • / Export search results for analysis

what it does

Compares flight prices across multiple booking platforms to find the best deals. Searches airlines, travel agencies, and booking sites in one query.

about

Navifare is an official MCP server published by navifare that provides AI assistants with tools and capabilities via the Model Context Protocol. Navifare: Flight price comparison — compare flight prices across multiple booking sources for cheap flights comparison a It is categorized under search web, developer tools.

how to install

You can install Navifare in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Navifare is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

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

Reference

Additional Guides

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

Reference

FAQ

What is the Navifare MCP server?
Navifare is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Navifare?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Navifare is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Navifare against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Navifare is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Navifare reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Navifare for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Navifare surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Navifare has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Navifare benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Navifare into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Navifare is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.