# Skyscanner MCP Server — Claude, Cursor & AI Agents (`makework36/skyscanner-mcp-server`) Actor

Plug-and-play Skyscanner MCP server for Claude Desktop, Cursor, Claude Code, ChatGPT and any MCP-compatible AI agent. Search flights with price, carrier, stops and duration in one tool call — no browser, no API key.

- **URL**: https://apify.com/makework36/skyscanner-mcp-server.md
- **Developed by:** [deusex machine](https://apify.com/makework36) (community)
- **Categories:** AI, Integrations, Travel
- **Features:** Limited permissions, Single-tenant, Server interface
- **Stats:** 91 total users, 25 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 tool calls

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Skyscanner MCP Server

Plug-and-play Skyscanner flight search as a native **Model Context Protocol** (MCP) server. Connect your AI agent (Claude Desktop, Cursor, Claude Code, ChatGPT, VS Code, Codex) and search flights in natural language.

### Connect from your MCP client

MCP Standby endpoint:

```
https://makework36--skyscanner-mcp-server.apify.actor/mcp?token=YOUR_APIFY_TOKEN
```

#### Claude Desktop

Add to your `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "skyscanner": {
      "url": "https://makework36--skyscanner-mcp-server.apify.actor/mcp?token=YOUR_APIFY_TOKEN"
    }
  }
}
```

#### Cursor / Claude Code / VS Code

Use the MCP configurator at [mcp.apify.com](https://mcp.apify.com) — select this Actor, click the install line for your client, paste and you're done.

### Available tools

#### `search_flights`

Search flights by origin/destination entity IDs and date(s).

**Arguments:**

| Name | Type | Required | Description |
|------|------|----------|-------------|
| `origin` | string | ✅ | Skyscanner entity ID (e.g. `27537542` for NYC) |
| `destination` | string | ✅ | Entity ID or `"everywhere"` for cheapest-destination discovery |
| `departDate` | string | ✅ | `YYYY-MM-DD` |
| `returnDate` | string | — | `YYYY-MM-DD` for round-trip (omit for one-way) |
| `adults` | integer | — | 1–9, default 1 |
| `cabinClass` | enum | — | `economy`, `premium_economy`, `business`, `first` |
| `market` | string | — | Two-letter market code (e.g. `US`, `GB`, `MX`) |
| `currency` | string | — | ISO 4217 (default `USD`) |
| `maxItineraries` | integer | — | 1–100, default 20 |

**Returns:** JSON with the search summary + up to `maxItineraries` results (price, carriers, stops, duration, dep/arr times).

### 💵 Pricing

**$0.05 per successful tool call.** Failed tool calls are not billed.

### 🚀 How to use

This MCP server wraps the battle-tested `makework36/skyscanner-flight-scraper-api` Actor. Each `search_flights` tool invocation:

1. Forwards arguments to the upstream scraper.
2. The scraper fetches fresh PerimeterX tokens from a dedicated token server.
3. Returns a curated JSON with the most relevant fields (compact for AI consumption).

Full architecture documented in the companion Actor.

### 🎯 Use cases

- **Travel assistants** that return cheapest options for a user query in natural language.
- **Itinerary builders** that explore `destination=everywhere` to find surprise trips.
- **Price-watch workflows** that schedule periodic `search_flights` and alert on drops.
- **Business travel agents** that filter by `cabinClass=business` and carrier preferences.

### Model compatibility

Tested with Claude Opus/Sonnet 4.x, GPT-4+, Cursor Agent mode, and the Apify `actors-mcp-server` auto-discovery.

### Related

- [Airbnb MCP Server](https://apify.com/makework36/airbnb-mcp-server) — vacation rentals in the same style.
- [Reddit MCP Server](https://apify.com/makework36/reddit-mcp-server) — 7 Reddit tools for agents.
- Upstream scraper: [skyscanner-flight-scraper-api](https://apify.com/makework36/skyscanner-flight-scraper-api).

# Actor input Schema

## `showSetupInstructions` (type: `boolean`):

When enabled, the test run outputs MCP connection details (the Standby URL you paste in your AI client) and the full list of available flight-search tools — search_flights — with their parameters, example args, and per-call pricing. Leave this enabled if you are exploring the Actor for the first time. This setting has no effect when the Actor is invoked via its Standby MCP endpoint from Claude, Cursor, or any other AI client.

## Actor input object example

```json
{
  "showSetupInstructions": true
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("makework36/skyscanner-mcp-server").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("makework36/skyscanner-mcp-server").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call makework36/skyscanner-mcp-server --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,makework36/skyscanner-mcp-server"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/COLS69gmBwRn4mTzD/builds/2JdMVdJuQxxG7I3D2/openapi.json