- LOGISTICS
- EFFICIENCY
- PLANNING
- HUMAN
Short answer
How can I use AI to find the best driving route?
Give your AI a list of locations and ask it to sequence them for efficiency. It uses Stadia Maps to calculate the best order for your stops. You get a clean, optimized path immediately.
The outcomes of route optimization.
Where your routes land.
Your agent turns raw address data into actionable driving instructions.
LOGISTICS
Optimized stop sequences
The AI reorders your list of stops to minimize total travel distance. You get a logical flow from start to finish.
EFFICIENCY
Reduced driving time
By finding the shortest path, the AI helps you hit more stops in less time. This reduces fuel use and vehicle wear.
PLANNING
Clear route data
The agent provides the specific path between points. You can then hand this sequence to a driver or a navigation app.
HUMAN
Final route review
The AI presents the suggested order for your approval. You decide if the sequence respects real-world constraints like time windows.
The workflow
What your AI does when the addresses arrive.
The AI moves from raw data to a finished driving plan using specialized mapping tools.
Parse locations
Your agent reads your list of addresses or coordinates from a sheet or chat message.
calculate_routeSequence stops
The AI calculates the most efficient order for all your waypoints to minimize total travel.
optimized_trip_routeVerify distances
The agent checks the specific road distance and path between individual stops to ensure accuracy.
calculate_routePresent plan
The AI outputs the final ordered list of stops and the total distance for your review.
optimized_trip_route
Try it
Copy these to start.
Use these prompts to trigger the routing tools.
Starting points
Swap out the bracketed text with your actual data, like a list of addresses or a Google Sheet link.
Stadia Maps Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_Zn6PbeWR61HQoD9gqBLh41CPmCvOZ3Y1lZXRiODb/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Stadia Maps capabilities are ready to use.
{
"mcpServers": {
"stadia-maps-mcp": {
"url": "https://edge.vinkius.com/vk_preview_Zn6PbeWR61HQoD9gqBLh41CPmCvOZ3Y1lZXRiODb/mcp"
}
}
}Optimize the route for these stops: [Address 1, Address 2, Address 3]
I have a list of delivery locations in this spreadsheet: [Link]. Sequence them into the most efficient driving path.
Calculate the driving distance between [Address A] and [Address B].
Take these coordinates [Lat/Long list] and find the best order to visit them to save time.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Stadia Maps once, then ask.
One click connects this MCP to your agent. Your credentials stay encrypted, and you can start routing immediately.
Connect Stadia Maps to your AIFAQ
How this task behaves.
- 01
Can the AI automatically send the route to my driver's phone?
No. The AI generates the optimized sequence, but you must manually send the final path to your driver.
- 02
Does the AI account for traffic jams?
The tools focus on calculating the most efficient path based on distance and road geometry.
- 03
Can the AI delete my original address list?
No. The AI only reads your data to perform calculations; it cannot modify or delete your source files.
- 04
Can I add time windows for specific stops?
You can tell the AI about time constraints in your prompt, and it will attempt to sequence the route accordingly.
- 05
Does it work with just street names?
Yes, as long as the addresses are clear enough for the mapping tools to identify the locations.
More questions about Stadia Maps? The Connector page answers them. See everything the Stadia Maps Connector can do
Connect Stadia Maps to Claude, Cursor, ChatGPT & more
