AirTreks MCP Server — routing intelligence for AI agents
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Documented (README)
- !Licence file present but not machine-readable
claude mcp add airtreks-mcp -- npx -y airtreks-mcp{
"mcpServers": {
"airtreks-mcp": {
"command": "npx",
"args": ["-y", "airtreks-mcp"]
}
}
}MCP Servers overview
# AirTreks MCP Server
[](https://smithery.ai/servers/bootsnall/airtreks)
**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
```bash
claude mcp add --transport http airtreks https://mcp.airtreks.com/mcp
```
### Cursor
Add to `.cursor/mcp.json` (or Cursor Settings → MCP → Add new server):
```json
{
"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:
```bash
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:
```json
{
"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):
```json
{
"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
| Tool | Description |
|------|-------------|
| `plan_route` | Primary entry point - give it cities, it evaluates Star Alliance RTW, oneworld RTW, and custom mixed-carrier builds, then recommends the best approach |
| `route_validate` | Validate a multi-city routing - alliance rules, dead legs, poison carriers, bookability |
| `route_suggest` | Get 3 suggested routings by region, direction, and alliance |
| `hub_check` | Best connection between two airports - dead leg detection + hub fixes |
| `fare_product_match` | Match the right fare product (RTW, Circle Pacific/Atlantic, Open Jaw, Custom) with typical price ranges |
| `custom_route_build` | Break complex itineraries into individually-ticketable segments with carrier recommendations |
#### Pricing
| Tool | Description |
|------|-------------|
| `route_estimate` | Price 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_quote` | Live fares for one specific itinerary on specific dates, priced as a single ticket |
| `itinerary_quote` | Prices 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_status` | Fetches an `itinerary_quote` result by its reference. Free to poll |
### Consultant handoff
| Tool | Description |
|------|-------------|
| `trip_idea_create` | Hand 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:
```bash
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`](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
| Path | Description |
|------|-------------|
| `/mcp` | MCP protocol endpoint (Streamable HTTP) |
| `/api/{tool}` | REST twin of each tool (POST, JSON body) |
| `/openapi.json` | OpenAPI 3.1 spec for the REST surface |
| `/health` | Health check |
| `/register` | Get an API key for a higher rate limit (POST) |
| `/privacy` | Privacy policy |
| `/` | Server info |
## License
AGPL-3.0-only
What people ask about airtreks-mcp
What is Airtreks/airtreks-mcp?
+
Airtreks/airtreks-mcp is mcp servers for the Claude AI ecosystem. AirTreks MCP Server — routing intelligence for AI agents It has 1 GitHub stars and its last recorded update is dated 2026-08-21.
How do I install airtreks-mcp?
+
You can install airtreks-mcp by cloning the repository (https://github.com/Airtreks/airtreks-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is Airtreks/airtreks-mcp safe to use?
+
Our security agent has analyzed Airtreks/airtreks-mcp and assigned a Trust Score of 72/100 (tier: OK). See the full breakdown of passed checks and flags on this page.
Who maintains Airtreks/airtreks-mcp?
+
Airtreks/airtreks-mcp is maintained by Airtreks. The last recorded GitHub activity is dated 2026-08-21, with 0 open issues.
Are there alternatives to airtreks-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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