navifare-mcp
Flight price comparison MCP server. Search multiple booking sources to find better flight prices.
MCP 服务配置
复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用
{
"mcpServers": {
"navifare-mcp": {
"args": [
"navifare-mcp@0.1.3"
],
"command": "npx"
}
}
}
可用工具 (5 个)
该服务在 MCP 协议中暴露的工具,AI 可按需调用
tavily_search 14 个参数 需填 1 项
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
必填参数:query
tavily_extract 6 个参数 需填 1 项
Extract content from URLs. Returns raw page content in markdown or text format.
必填参数:urls
tavily_crawl 11 个参数 需填 1 项
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
必填参数:url
tavily_map 8 个参数 需填 1 项
Map a website's structure. Returns a list of URLs found starting from the base URL.
必填参数:url
tavily_research 2 个参数 需填 1 项
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.
必填参数:input
服务介绍
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 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: 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 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: contact@navifare.com
- Privacy Inquiries: privacy@navifare.com
- GitHub Issues: https://github.com/navifare/navifare-mcp