MCP Location Services Prompts - mbasa/McpLocationService GitHub Wiki

The following prompts can be used to illustrate how the Geocoder and Routing services can be called from within the Claude AI.

Geocode Two Addresses then get the Driving Distance

Prompt:

get the Japanese addresses of Nihonbashi Takashimaya and Shinjuku Takashimaya then geocode the addresses. Display the full geocoded information and get the driving distance between the two coordinates.

Reverse Geocode a Lat/Lng Coordinate

Prompt:

reverse geocode this latitude/longitude coordinates  35.684647517, 139.703351633 and display the full output.

Show the Shortest Path between Two Addresses

Prompt:

get the address in Japanese of 杉並区立中央図書館, then geocode that address as well as this address 杉並区清水１−３−２. Use the coordinates of those geocoded addresses and get the shortest path between those two points. Finally, create a Leaflet map with OSM background and display the shortest path and the two points.  

Show Drive Time Polygons with different Radiuses

Prompt:

get the Japanese address of the 杉並公会堂 and geocode the address. Use the geocoded coordinates to create a drive time polygon with 2000, 3000, 4000 meters radius. Then, create a Leaflet map with OSM as background data and display the geocoded point as well as  the different drive time polygons.

Creating a Traveling Sales Person (TSP) Tour from a list of Addresses

Prompt:

geocode the following addresses: 杉並区清水１−３−１４, 東京都杉並区荻窪5-20-7 吉田ビル　１Ｆ,東京都杉並区荻窪5-24-7 富士ビル　２Ｆ, 東京都杉並区高井戸東4-14-7,  東京都杉並区天沼3-10-16,  東京都杉並区上荻2-7-11. Get the geocoded coordinates and create a tour where the first address is the starting point and the other address have to be visited only once. The tour should end with the first address. Then, create a Leaflet map with OSM as background and display the different addresses as well  the tour lines. 

Getting the 500m Mesh Census Data from a Point and a Walking Distance Radius

Prompt:

using the address 東京都立川市曙町2-5-17 S&T ITOH BLD 4F, get the 15 minute walking distance census data and use the data to summarize and describe the area. 

Creating a Site Usability Report based on the Walking/Driving Distance and the Census Data to Maximize AI's analytics.

Prompt:

using this address 杉並区清水１−３−１, get the census data with a 700 meter radius. Analyze  the census data to determine if the address is suitable for a small standing-only bar.