- DATA
- ID
- LOG
- HUMAN
Short answer
How can I turn lat/long into road names?
Your AI uses the get_nearest_roads tool to find the closest street and place ID for any given coordinate. This turns raw numbers into actionable location data. You'll see the specific road names and identifiers in your chat window.
The results you get
Where the data lands
The AI processes your coordinates and delivers these specific outputs.
DATA
Street names
The AI identifies the exact road name for the provided coordinates. You get clear, readable street names instead of raw numbers.
ID
Place identifiers
Your agent retrieves unique place IDs for each location. These IDs allow you to reference the exact spot in other mapping services.
LOG
Coordinate lists
You can pass a batch of coordinates to the AI. It returns a structured list of the corresponding road information.
HUMAN
Manual verification
You decide if the identified road matches your specific needs. The AI provides the data, but you confirm the accuracy for your project.
The workflow
What your AI does when coordinates arrive.
The AI acts as a bridge between your raw data and Google's mapping intelligence.
Receive coordinates
Your AI client takes the latitude and longitude pairs you provide in the chat.
get_nearest_roadsLocate nearest roads
The agent queries the mapping service to find the closest street segments to those points.
get_nearest_roadsExtract identifiers
The AI pulls the specific road names and place IDs from the returned data.
get_nearest_roadsFormat results
Your agent organizes the street names and IDs into a clean format for your use.
get_nearest_roads
Try it
Copy these to start.
Use these prompts to trigger the mapping process.
Starting points
Swap the bracketed text with your actual data, like a list of coordinates from a spreadsheet or a single pair of numbers.
Google Roads Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_icL7P1wSdhqlP5hejAj1lwlYwJ0IrlWvNXEfqUmc/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 — Google Roads capabilities are ready to use.
{
"mcpServers": {
"google-roads-mcp": {
"url": "https://edge.vinkius.com/vk_preview_icL7P1wSdhqlP5hejAj1lwlYwJ0IrlWvNXEfqUmc/mcp"
}
}
}Find the road names for these coordinates: [insert lat/long pairs here].
Look up the nearest road and place ID for 34.0522, -118.2437.
I have a list of GPS points in this CSV; can you find the street names for all of them?
Convert these coordinates into a table with road names and place IDs: [insert coordinates].
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Google Roads once, then ask.
One click connects the MCP to your client. Your credentials stay encrypted and secure, and you can find the full setup guide on the Connector page.
Connect Google Roads to your AIFAQ
How this task behaves
- 01
Can the AI find the exact house number?
No. The tool identifies the nearest road and place ID, not specific building or house numbers.
- 02
Can my AI change the data in my Google Maps account?
No. This MCP only reads coordinate data to find road names. It cannot modify your personal maps or account settings.
- 03
Can I upload a whole file of coordinates?
Yes. You can paste coordinate lists or provide data from a file for the AI to process.
- 04
Does the AI handle the mapping itself?
No. The AI uses the get_nearest_roads tool to fetch the data from Google; it doesn't 'know' the roads without the tool.
- 05
What happens if a coordinate is in the middle of the ocean?
The tool will attempt to find the nearest road, but if no road exists near those coordinates, the AI will report that no road was found.
More questions about Google Roads? The Connector page answers them. See everything the Google Roads Connector can do
Connect Google Roads to Claude, Cursor, ChatGPT & more
