Geometry primitivesFree tier

isochrone_proxy

As-the-crow-flies polygon (WKT) approximating the area reachable in minutes from (lat, lon) for mode walk | bike | drive. Calibrated speeds: walk 80 m/min, bike 250 m/min, drive 800 m/min (urban). Not real routing — use for coarse catchment filters and pair with points_in_polygon.

Use cases

Coarse “15-minute walk” catchment for retail planning without a routing engine.
Pre-filter a candidate POI list to only those reachable within 30 min by bike.
Combine with points_in_polygon for a one-two-call catchment analysis.

Arguments

Name	Type	Required	Description
lat	number	required	Latitude in WGS84.
lon	number	required	Longitude in WGS84.
minutes	number	required	Travel time. Range 1 – 60.
mode	string	required	`walk` \| `bike` \| `drive`.

Example request

curl

bash

curl -X POST https://mcp.qubitdata.it/mcp \
  -H "Authorization: Bearer $QUBITDATA_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "isochrone_proxy",
      "arguments": {
            "lat": 45.4642,
            "lon": 9.19,
            "minutes": 15,
            "mode": "walk"
      }
    }
  }'

Example response

JSON-RPC 2.0 result

json

{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "content": [
      {
        "type": "text",
        "text": "{\n  \"wkt\": \"POLYGON((9.205 45.464, 9.204 45.461, ...))\",\n  \"mode\": \"walk\",\n  \"minutes\": 15,\n  \"approx_radius_m\": 1200\n}"
      }
    ]
  }
}

Prompts to try

Drop these into Claude Desktop, Cursor, or any MCP-aware client wired to https://mcp.qubitdata.it/mcp.

Claude Desktop

What's the 15-minute walking polygon from Piazza Duomo? Then count restaurants inside.
Cursor

isochrone_proxy(20min drive) + points_in_polygon(theme=education) for a school catchment.
Custom MCP client

Generate a 30-minute bike polygon for each property in my batch.

Get started

Last updated: 2026-05-04