Ignav Flights

@Ignav Flights find me round-trip fares from SFO to Tokyo in late June, returning early July, economy class under $900

Found 8 round-trip options from SFO to NRT/HND between June 24–28 outbound and July 2–6 return. Lowest fare: $847 on United via SFO-NRT direct outbound (11h 35m), NRT-SFO return with 1 stop in Honolulu (14h 10m total). Next best: $879 ANA nonstop both ways. Each result includes an ignav_id you can use with the booking-link tool to get direct purchase URLs from United.com or the OTA carrying that fare.

This example shows the core fare-search workflow. Each search consumes one Ignav usage credit from your account balance. Results reflect live airline inventory at query time and may change within minutes. The MCP returns ranked itineraries but does not hold inventory or guarantee prices—always verify on the booking link before purchase.

@Ignav Flights I have ignav_id 'abc123xyz' from my last search—get me the booking links so I can purchase that United fare

Retrieved booking links for ignav_id abc123xyz (SFO-NRT round-trip, $847 United economy). Direct airline link: united.com/book?fare=… (deeplink to United's checkout with this exact itinerary pre-filled). OTA option: kayak.com/book?… (alternative purchase path, may show slight price variance). Both links expire in 15 minutes due to fare volatility. Open immediately to lock the quoted price.

Demonstrates the two-step pattern: search fares first, then request booking links by ignav_id. This separation lets you compare options in Switchy before committing to a purchase flow. Booking links are time-sensitive and do not reserve inventory—airlines may reprice between link generation and checkout if seats sell out.

@Ignav Flights compare one-way fares LAX to London on March 15 versus March 22, then summarize which week offers better value for premium economy

March 15 LAX-LHR: 6 premium-economy options $1,240–$1,580 (lowest: British Airways direct, 10h 30m). March 22 LAX-LHR: 9 options $980–$1,420 (lowest: Virgin Atlantic direct, 10h 25m, $980). The March 22 departure saves $260 on the cheapest premium-economy seat and offers more inventory across carriers. If schedule flexibility exists, the second week delivers meaningfully better value with comparable flight times.

This synthesis example pairs the MCP's fare data with the AI's comparison logic. Running two one-way searches consumes two Ignav credits. The AI can rank by price, duration, or layover count, but cannot predict future price drops—this snapshot reflects current airline pricing only.

When this MCP wins for coordinating team travel from multiple cities

A 6-person remote team needs to book flights to an offsite in Austin from SF, NYC, and Denver. The ops lead uses Switchy to run parallel one-way and round-trip searches across all origin cities, then compares fares in a single thread. The MCP returns ranked results with ignav_id values that convert directly to booking links—no tab-juggling across airline sites. This works when you're comparing 3-8 routes and need a decision in one sitting. If you're booking for 15+ people or need corporate travel policy enforcement, you'll hit the usage-cap ceiling fast and want a dedicated travel tool instead. For small-team offsites where speed beats policy, this MCP closes the loop in Switchy.

Why this MCP falls short for ongoing client visit scheduling

A 3-person customer success team books quarterly on-site visits to 12 enterprise accounts. They need flexible date searches, fare tracking over weeks, and approval workflows before purchase. The Ignav MCP handles the initial fare search well—especially the flexible multi-city tool for back-to-back client stops—but it doesn't track price changes or integrate with expense systems. Each search burns a usage credit, so exploratory 'what if we go Tuesday instead' queries get expensive. If your travel cadence is more than twice a month, you'll want a tool that caches results and syncs with your finance stack. Use this MCP for one-off trip research when the team is already in Switchy planning the agenda, not as your primary travel ops layer.

When this MCP is the right call for infrequent event logistics

A 2-person events team is coordinating flights for 4 external speakers coming to a company conference. They have confirmed dates, known origin cities, and a tight 48-hour window to send booking links. The team opens a Switchy thread, runs round-trip searches for each speaker, and uses the Get Booking Links tool to generate direct URLs for the cheapest options. Speakers book their own tickets from the links—no back-and-forth email chains. This scenario works because trip count is low (under 10 searches), dates are fixed, and the team needs answers now, not a procurement process. The API key setup takes 5 minutes and the usage cap covers occasional events without a monthly SaaS seat. If you run more than 3 events a year, budget for a higher-tier Ignav plan or a full travel platform.