MCP For Claude Marketplace
Geographic Distance Calculator

Geographic Distance Calculator MCP Connector for Claude

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Calculate precise distances, bearings, and waypoints using Haversine, Vincenty, and Euclidean models.

5 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

A high-precision geospatial utility for calculating distances, bearings, waypoints, and bounding areas. This MCP server provides specialized tools to compute the distance between two coordinates using multiple mathematical models: calculate_distance (Haversine, Vincenty, or Euclidean), compute_destination for finding a point based on bearing and travel distance, get_midpoint for geographic centers, get_bearing_stats for initial and final bearings, and generate_bounding_box to define rectangular areas around a radius.

distancecoordinateslatitudelongitudehaversinevincentynavigationgeography

5 tools expose this connector's capabilities to your AI agent.

get_bearing_stats

Get bearing statistics between two points

generate_bounding_box

Generate a bounding box for a circular area

get_midpoint

Find the midpoint between two points

calculate_distance

Calculate the distance between two geographic points

compute_destination

Compute a destination point based on bearing and distance

See how to talk to your AI agent using Geographic Distance Calculator.

What is the distance between New York (40.7128, -74.0060) and London (51.5074, -0.1278) using the Haversine formula?

The distance between New York and London is approximately 5,570 km (3,461 miles or 3,007 nautical miles).

Calculate the destination if I start at (0, 0) and travel 1000 meters at a bearing of 90 degrees.

The destination coordinates are Latitude: 0.0, Longitude: 0.00899 (approximately 1km East).

Find the midpoint between Tokyo (35.6895, 139.6917) and Sydney (-33.8688, 151.2093).

The geographic midpoint is located at approximately Latitude: -0.145, Longitude: 145.45.

Use `haversine` for most general-purpose needs as it is efficient and accurate. Use `vincenty` when high precision is required for long-distance navigation, as it accounts for the Earth's ellipsoidal shape. Use `euclidean` only for extremely short distances where curvature is negligible.

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