Flighty
FreeNot checkedA read-only MCP server that exposes personal Flighty app flight data as geo-ready legs with coordinates, enabling queries by date, year, or flight number, and a
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A read-only MCP server that exposes personal Flighty app flight data as geo-ready legs with coordinates, enabling queries by date, year, or flight number, and aggregate stats.
README
A read-only MCP server that exposes your personal Flighty app flight data as geo-ready legs with departure and arrival coordinates. Query your flight history by date, year, or flight number; browse aggregate stats (distance, unique airports/airlines, top routes).
Credit: inspired by LukasHaas/flighty-mcp for the original idea.
Tools
list_my_flights
List your own flights as geo-ready legs (departure/arrival airports with coordinates).
Arguments:
year(optional): Filter to a calendar year (e.g. 2025).after(optional): Only flights departing on/after this ISO date (YYYY-MM-DD).before(optional): Only flights departing before this ISO date (YYYY-MM-DD).limit(optional): Maximum number of legs to return (default 200, newest first).
Returns: List of leg objects with this structure:
{
"date": "2025-06-23",
"flight_no": "UA194",
"airline": {
"iata": "UA",
"name": "United Airlines"
},
"from": {
"iata": "SFO",
"city": "San Francisco",
"country": "United States",
"lat": 37.6213,
"lon": -122.379
},
"to": {
"iata": "JFK",
"city": "New York",
"country": "United States",
"lat": 40.6413,
"lon": -73.7781
},
"departure": "2025-06-23T10:30:00",
"arrival": "2025-06-24T01:15:00Z"
}
get_flight
Get your most recent flight leg matching a flight number (e.g. "UA194").
Arguments:
flight_no: The flight number (case- and space-insensitive).
Returns: A single leg object (or null if no match found).
flight_stats
Aggregate stats over your flights: counts, distance, unique airports/airlines, and top routes.
Arguments:
year(optional): Filter stats to a calendar year. Omit for all-time.
Returns: Stats object with this structure:
{
"flights": 42,
"distance_km": 18500.5,
"unique_airports": 15,
"unique_airlines": 5,
"top_routes": [
{ "route": "SFO -> JFK", "count": 8 },
{ "route": "JFK -> SFO", "count": 7 }
],
"top_airlines": [
{ "iata": "UA", "name": "United Airlines", "count": 12 }
],
"year": "all_time"
}
animate_trip
Build a flight-animator route link for your trip to a place.
Resolves the connected flights from your home (or origin) to destination and returns shareable links: url (one-way trip) and round_trip_url (there and back). May instead return a resolution prompt with status ambiguous_destination, confirm_home, or no_match.
Arguments:
destination: Where the trip goes — IATA code, city, or country (e.g. "Japan", "NRT").origin(optional): Starting location — IATA code, city, or country. Defaults to your inferred home (most common departure airport).after(optional): ISO date (YYYY-MM-DD); only trips departing on/after it.before(optional): ISO date (YYYY-MM-DD); only trips departing before it.
Example: "animate my flight to Japan"
Returns: If successful, a dict with keys status (always "ok"), url, round_trip_url (if a return is found), home, destination, stops (summary), start_date, end_date, leg_count, and home_confidence. On ambiguity or mismatch, returns status with one of: no_match (no flights match criteria), ambiguous_destination (multiple cities match the destination), or confirm_home (inferred home confidence is low—returns top alternatives for confirmation).
Route link format: the ?d= value is base64url of {"v":1,"stops":[…]} (the versioned envelope shared with flight-animator's decoder). Each stop carries code, lat, lon, label, and optional arrive/depart (ISO 8601). We always embed lat/lon so the animator needs no airport-table lookup and so points outside its bundled dataset still render — consumers should prefer the embedded coordinates over resolving the code.
Installation
claude mcp add flighty -- uv --directory /path/to/flighty-mcp run flighty-mcp
Configuration
| Variable | Default | Description |
|---|---|---|
FLIGHTY_DB_PATH |
$HOME/Library/Containers/com.flightyapp.flighty/Data/Documents/MainFlightyDatabase.db |
Path to the Flighty app's SQLite database. |
FLIGHTY_USER_ID |
Auto-detected from UserProfile table |
The Flighty user ID to query (normally auto-detected; set only if overriding). |
FLIGHT_ANIMATOR_BASE_URL |
https://flights.sailingnaturali.com |
Base URL for animate_trip route links (consumed by the companion flight-animator app). |
Full Disk Access Requirement
Important: The MCP server needs macOS Full Disk Access to read the Flighty database.
Symptom: If the server fails to connect or reads hang indefinitely, it's likely because Full Disk Access is missing.
Solution:
- Open System Preferences → Privacy & Security → Full Disk Access.
- Add the app that will launch this server:
- If using Claude Desktop, add
Claude.app. - If using Claude Code CLI or Terminal, add
/Applications/Terminal.app(or whatever terminal app you use). - If using a different tool, add that application.
- If using Claude Desktop, add
- Restart the app (or kill and relaunch it).
- Try again.
The database lives at ~/Library/Containers/com.flightyapp.flighty/Data/Documents/, which is in your user's private container — Full Disk Access is required for any application to read it.
Install Flighty in Claude Desktop, Claude Code & Cursor
unyly install flighty-mcpInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add flighty-mcp -- uvx --from git+https://github.com/sailingnaturali/flighty-mcp flighty-mcpFAQ
Is Flighty MCP free?
Yes, Flighty MCP is free — one-click install via Unyly at no cost.
Does Flighty need an API key?
No, Flighty runs without API keys or environment variables.
Is Flighty hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Flighty in Claude Desktop, Claude Code or Cursor?
Open Flighty on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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