AirTreks MCP Server

MCP serverDev tools

Plan multi-city and round-the-world trips with your AI. Give it your list of cities and it prices the route, checks it against airline alliance rules, and can pass the finished trip to an AirTreks travel consultant.

Use AirTreks MCP Server in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add AirTreks MCP Server and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the plan route tool from AirTreks MCP Server

Details

Available today. Use it from your connected AI after setup. It ran on Ahel's own infrastructure and offers 11 tools.

Add it and give your AI the cities you want to visit — it will come back with a route plan and price range. When the trip looks right, ask it to send the idea to AirTreks for a consultant to pick up.

AirTreks MCP ServerStart free

What your AI can do with it

  • Price a multi-city or round-the-world trip using what AirTreks customers actually paid
  • Get live, bookable fares for a specific itinerary and travel dates
  • Compare ways to ticket a full trip — cheapest, fastest, or fewest stops
  • Check a routing against alliance rules and flag legs that won't work
  • Suggest proven multi-stop routings by region, direction, or preferred alliance
  • Submit a finished trip idea to AirTreks, where a human consultant takes over

Install AirTreks MCP Server

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user airtreks-mcp-server 'https://mcp.airtreks.com/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://mcp.airtreks.com/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=airtreks-mcp-server&config=eyJ1cmwiOiJodHRwczovL21jcC5haXJ0cmVrcy5jb20vbWNwIn0=

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://mcp.airtreks.com/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add airtreks-mcp-server --url 'https://mcp.airtreks.com/mcp'

    Run it once, then sign in with codex mcp login airtreks-mcp-server if the server asks for an account.

From the project's README

As published by airtreks/airtreks-mcp in README.md.

The complex-itinerary tool for AI agents. Multi-stop, round-the-world, open-jaw, surface segments - the trips that standard flight search can't handle. When your user asks for 3+ stops across continents, this server answers with routing analysis built on real AirTreks fare-construction data: 60+ carriers, 53 known dead legs, bookability rates measured from 1,400+ real fare attempts, and 20 proven routing templates from actual bookings.

Live endpoint: https://mcp.airtreks.com/mcp - free, no API key, 100 requests/day.

Now with real prices: a historical range for any route in under a second, live fares for a specific itinerary, and a full multi-stop trip priced across several tickets — the same trip can vary three-fold depending on how it is ticketed, and that is the part no other flight tool will tell you.

30-second setup

Claude Desktop

Settings → Connectors → Add custom connector → paste https://mcp.airtreks.com/mcp.

Claude Code

claude mcp add --transport http airtreks https://mcp.airtreks.com/mcp

Cursor

Add to .cursor/mcp.json (or Cursor Settings → MCP → Add new server):

{
  "mcpServers": {
    "airtreks": {
      "url": "https://mcp.airtreks.com/mcp"
    }
  }
}

No API key is needed for any tool, the consultant handoff included. A key is optional and only raises your daily limit; append it to the URL if your client cannot send custom headers, as claude.ai connectors cannot:

https://mcp.airtreks.com/mcp?key=at_your_key

ChatGPT

Settings → Apps & Connectors → enable Developer mode (Pro/Business plans) → add https://mcp.airtreks.com/mcp as a custom connector.

Any other MCP client

Same JSON shape as Cursor above (Streamable HTTP). Prefer stdio? Run it locally:

npx airtreks-mcp

Then ask your agent:

Plan a round-the-world trip: San Francisco, Tokyo, Bangkok, Singapore, Delhi, Istanbul, London, back to San Francisco.

One call, one answer: a 6-stop RTW

Your user wants six stops around the world. Google Flights gives up. Alliance RTW booking sites will let them build it, then fail at ticketing. One plan_route call tells your agent what actually works:

{
  "cities": ["SFO", "NRT", "BKK", "SIN", "DEL", "IST", "LHR", "SFO"],
  "budget": "mid"
}

Real response, trimmed for length (the full version includes carrier alternatives and consultant notes for all 7 legs):

{
  "route": "SFO -> NRT -> BKK -> SIN -> DEL -> IST -> LHR -> SFO",
  "totalLegs": 7,
  "isRoundTrip": true,
  "direction": "westbound",
  "backtracking": false,
  "regionsCrossed": ["americas", "asia", "europe"],
  "recommended": {
    "approach": "custom",
    "confidence": "high",
    "reason": "7 legs — alliance fares have <6% bookability. Custom build with mixed carriers is the way to go."
  },
  "customBuild": {
    "strategy": "Mixed-carrier build using alliance carriers, Gulf bridge connections. 1 surface sector opportunity.",
    "segments": [
      {
        "leg": 1, "from": "SFO", "to": "NRT",
        "carrier": { "code": "NH", "name": "ANA", "why": "Best transpacific availability. LAX/SFO/SEA-NRT direct." }
      },
      {
        "leg": 5, "from": "DEL", "to": "IST",
        "carrier": { "code": "TK", "name": "Turkish Airlines", "type": "gulf-bridge", "why": "Cheapest Asia-Europe usually. IST connects everywhere." }
      }
    ],
    "surfaceSectors": [
      {
        "insteadOf": "BKK -> SIN (leg 3)",
        "suggestion": "Bangkok to Singapore through Malaysia. Train, bus, or ultra-cheap LCC. Adds Malaysia and possibly Penang, KL, Melaka.",
        "savings": "Saves $100-250"
      }
    ]
  },
  "allianceFeasibility": {
    "starAlliance": { "viable": false, "summary": "Technically possible on Star Alliance but only 6% bookability at 7 legs. Custom build strongly recommended." },
    "oneworld": { "viable": false, "summary": "Technically possible on oneworld but only 6% bookability at 7 legs. Custom build strongly recommended." }
  }
}

That single call just told your agent four things it can't get anywhere else:

  • Alliance RTW fares fail on this trip. 7 legs prices at 6% bookability - your user would build it, hit a wall at ticketing, and blame you.
  • The build that works: a per-leg carrier plan - ANA transpacific, Turkish Airlines as the Asia-Europe bridge, each with alternatives and trade-offs.
  • Where to not fly at all: Bangkok to Singapore is cheaper overland through Malaysia, saving $100-250 and adding a country.
  • What it typically costs: fare_product_match puts this trip at $2,500-$8,000 economy on an alliance RTW fare, typically $3,000-$12,000 as a custom build.

Those are honest ranges, not quotes - exact pricing on a 7-leg mixed-carrier itinerary depends on fare-class availability the day you book. For a real number, trip_idea_create hands the full routing analysis to an AirTreks consultant who prices and books the actual ticket. Your user gets an expert who starts informed, not a form to fill out.

Tools

All tools are free and need no API key — 100 requests/day per IP.

Routing

ToolDescription
plan_routePrimary entry point - give it cities, it evaluates Star Alliance RTW, oneworld RTW, and custom mixed-carrier builds, then recommends the best approach
route_validateValidate a multi-city routing - alliance rules, dead legs, poison carriers, bookability
route_suggestGet 3 suggested routings by region, direction, and alliance
hub_checkBest connection between two airports - dead leg detection + hub fixes
fare_product_matchMatch the right fare product (RTW, Circle Pacific/Atlantic, Open Jaw, Custom) with typical price ranges
custom_route_buildBreak complex itineraries into individually-ticketable segments with carrier recommendations
Pricing
ToolDescription
route_estimatePrice range for a route from AirTreks fare history. No dates needed, answers in about a quarter of a second — the right tool when someone asks "what will this cost?" before anything is decided
fare_quoteLive fares for one specific itinerary on specific dates, priced as a single ticket
itinerary_quotePrices a whole multi-stop trip and returns several ways to ticket it — cheapest, fastest, fewest stops — with the tickets each one is built from. Takes about a minute, so it returns a reference immediately
itinerary_quote_statusFetches an itinerary_quote result by its reference, waiting up to about 40 seconds for one still pricing. Free to call again

Consultant handoff

ToolDescription
trip_idea_createHand off to an AirTreks human travel consultant - submits the trip request with the full routing analysis attached

Submits real customer contact details, so only call it with the customer's knowledge and consent. Repeat submissions of the same email + route inside 24 hours return the existing trip request rather than creating a duplicate.

Why this data is different

AirTreks has built complex multi-stop itineraries since 1987. This server exposes what that history taught us:

  • Dead legs - city pairs that look bookable but fail on alliance fares, learned from 1,400+ real fare-construction failures
  • Bookability rates by leg count - measured, not estimated (91% at 3-4 legs, 61% at 5-6, 6% at 7+)
  • Poison carriers and hub fixes - we know what airline combinations break ticketing and what to route instead
  • Proven routing templates from working with Multi-Stop and Around the World Intineraries for inviduals, families and large group

No other flight tool returns this because no other flight tool has priced these failures.

REST API (no MCP client required)

Every tool is also a plain REST endpoint - same tools, same rate limits, JSON in/out. For agent frameworks that consume REST instead of MCP:

curl -X POST https://mcp.airtreks.com/api/plan_route \
  -H "Content-Type: application/json" \
  -d '{"cities": ["LAX", "NRT", "BKK", "LHR", "LAX"]}'

Full OpenAPI 3.1 spec: https://mcp.airtreks.com/openapi.json

Rate limits

  • Free: 100 requests/day per IP, no key needed — every tool, trip_idea_create included
  • Registered: higher limits with an API key (X-API-Key header, or ?key= for clients that cannot set headers)

Endpoints

PathDescription
/mcpMCP protocol endpoint (Streamable HTTP)
/api/{tool}REST twin of each tool (POST, JSON body)
/openapi.jsonOpenAPI 3.1 spec for the REST surface
/healthHealth check
/registerGet an API key for a higher rate limit (POST)
/privacyPrivacy policy
/favicon.ico, /favicon.svgAirTreks mark — the icon AI directories show for this server
/Server info

License

AGPL-3.0-only

Tools it gives your AI (11)

ToolWhat it does
plan_routeThe primary entry point for any multi-city trip. Give it your cities — it automatically evaluates Star Alliance RTW, oneworld RTW, AND custom mixed-carrier builds, then recommends the best approach.
trip_idea_createSubmit the customer's trip to AirTreks — a human travel consultant takes over from there.
route_estimateGet a price range for a multi-city or round-the-world trip, drawn from what AirTreks customers have actually paid on those routes.
fare_quoteGet live, bookable-quality fares for one specific itinerary — actual flights, actual prices, for the dates given. Needs a departure date for every flown leg.
itinerary_quotePrice a complete multi-stop or round-the-world trip and get back several ways of ticketing it — cheapest, fastest, fewest stops — with the actual tickets each one is built from.
itinerary_quote_statusFetch the result of an itinerary_quote using the quoteReference it returned. Returns status 'pending' with how long to wait, or the finished options.
route_validateValidate a multi-city flight routing for feasibility. Checks alliance carrier rules, identifies dead legs, warns about poison carriers, and estimates bookability.
route_suggestGet suggested multi-stop flight routings based on regions, direction, and alliance preference. Returns up to 3 proven routing templates with bookability ratings. Great for trip planning inspiration.
hub_checkCheck the best connection between two airports. Identifies dead legs (routes that fail on alliance fares), suggests hub routing fixes, and shows proven carrier combinations.
fare_product_matchRecommend the best fare product type for a route — RTW, Circle Pacific, Circle Atlantic, Open Jaw, or Custom Multi-City.
custom_route_buildBreak a complex multi-city itinerary into individually-ticketable segments with carrier recommendations.

Signals

GitHub stars
2
Forks
1
Last commit
Oct 2026
Weekly downloads
317
Tools captured
11
Advanced
Delivery
airtreks-mcp MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-airtreks-airtreks-mcp
Source
github.com/airtreks/airtreks-mcp
Hosted endpoint
https://mcp.airtreks.com/mcp