onvaou-app/onvaou-itineraires-mcp

Address geocoding, and bike, e-bike, kick scooter, motorcycle, wheelchair and
walking routes across Europe, for AI assistants. One request turns a place name
into coordinates; the next returns up to three routes (safe, balanced, fast)
with what each one is worth: share of cycle lanes, unpaved surfaces, main roads
and motorways, climb, and turn-by-turn steps.
Setup
1. Create a free API key at https://console.onvaou.app (10,000 requests per
month, no credit card).
2. Add the server to your MCP client, for example Claude Desktop
(claude_desktop_config.json):
Claude Code, same key, one line:
Both tools come with the server: ask for "a safe bike route from Gare de Rennes
to the Thabor park" and the assistant geocodes the two names, then routes
between the coordinates it got back.
Tools
geocode_address: turns an address, a place name, a station or a point of
interest (query, 2 to 200 characters) into longitude/latitude candidates,
best first, each with a full label, its type and a confidence score. type is
one of address (a house number), street, locality (town, district),
region, country, venue (a named place: station, hotel, monument) or
other, and nothing else. Narrow the search with near (bias the ranking
around a point, which must itself be inside the European coverage), country
(ISO 3166-1 alpha-2), limit (1 to 5) and language (en, fr, de, it; en by
default, any other value refused). it is accepted, but the geocoder does not
label in Italian: the labels then come back in the local language of each
place (Milano, München). Results come from Photon (OpenStreetMap) across
Europe, and from the IGN Géoplateforme in France, which hands over to Photon
when it is unavailable, returns nothing, or its best confidence is below 0.4;
source says which one answered. Its coordinates go straight into
compute_route. Searches have their own daily allowance and never count
towards the monthly routing quota, so a lookup before a route is free.
compute_route: origin and destination ({ "lon": 2.3522, "lat": 48.8566 }),
up to 8 waypoints, mode (bike, ebike, scooter, moto, wheelchair, foot),
variants, avoid (ferries, steps, tolls, highways, unpaved, steep),
instruction language (en, fr, de, es, it, nl, pt), and whether to include
steps, the encoded polyline and the elevation profile. Give it coordinates:
when you only have a place name, call geocode_address first.