One integration. 15 tools. The entire aviation world. Connect any MCP-compatible AI agent to real-time aviation data — airlines, airports, routes, maps, CO₂ emissions, and more.
get_airline returns full airline profiles. get_carbon returns ICAO-certified CO₂ with cabin comparison. plan_trip builds multi-leg itineraries. All 15 tools return the same structured JSON.
Claude Desktop, Cursor, Windsurf, VS Code, ChatGPT, Continue, Cline, Claude Code, and any other client that supports the Model Context Protocol over HTTP.
Alliance membership, hub airports, brand colors, traffic statistics, logos, and coordinates — all in one structured JSON response.
{
"iata": "LH",
"name": "Lufthansa",
"icao": "DLH",
"alliance": "Star Alliance",
"country": "Germany",
"hub_airports": [
"FRA", "MUC", "ZRH"
],
"colors": [
"#05164D",
"#FFFFFF"
],
"logo": "https://img.logostream.dev/
airlines/icon/lh.png",
"active": true,
"passengers": 102000000
}Connect directly to aviation-mcp.logostream.dev over HTTPS. No npm package, no Node runtime, no version drift — paste the JSON config and restart your client.
Every tool call is one API request, one billable event.
Which airlines fly between Germany and Japan?
Hub airports, alliance membership, routes and logo assets available for each airline on request.
Pull data for entire alliance networks, country pairs, or competitor route sets in one prompt. Your agent calls the Aviation MCP in parallel, assembles the comparison, and hands you a structured answer — instead of guessing from training data.
Works out of the box — no prompt engineering required.
"Plan a trip from Frankfurt to Sydney with one stopover in Dubai. Which airlines operate each leg?"
"What are all direct routes between Germany and Japan, and which airlines fly them?"
"How much CO₂ does the Emirates A380 produce FRA → DXB in Business Class? Include the EU ETS offset price."
"Generate a route map for FRA → DXB → SIN → NRT."
"What connecting airports can I use to fly from FRA to ADL?"
"Give me Lufthansa's full hub network and alliance membership."
"Compare the carbon footprint of LH 400 Frankfurt → New York across all four cabin classes."
"What does the runway layout of Heathrow look like?"
Four ways to integrate. Pick yours.
{
"mcpServers": {
"logostream-aviation": {
"type": "http",
"url": "https://aviation-mcp.logostream.dev",
"headers": {
"x-api-key": "YOUR_API_KEY"
}
}
}
}Real workflows your AI assistant can power on day one.
Let your agent compose itineraries grounded in real route data — which airlines fly each leg, how long the flight takes, and what the stopover options are. No hallucinated connections.
Ask Claude to compare network reach across alliances, identify underserved country pairs, or pull traffic stats for any airport. Live data, natural language interface.
Paste a list of airports into your agent and get back a rendered great-circle map. Useful for pitch decks, dashboards, and route planning tools.
Build AI-powered travel planners that resolve multi-stop itineraries with real airlines, actual distances, and estimated flight times — fetched live, not hardcoded.
Let your agent calculate ICAO-certified CO₂ per passenger for any flight, all four cabin classes, and EU ETS offset prices — in one tool call. Ready for GHG Protocol Scope 3 reporting.
Add aviation context to coding agents or internal tools. Ask Cursor to scaffold an app around real airport data without building a data layer first.
Billed per call, no seat fees, runs on Cloudflare globally. Drop into any enterprise MCP stack with a single JSON config and one API key.
Everything you need to know about the Aviation MCP integration.