How to Use the Google Roads MCP in Claude
Clean your noisy GPS tracks and pull real-time speed limits directly inside the Claude Desktop app.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Google Roads MCP to Claude Desktop
Create your Vinkius account to connect Google Roads to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Snap raw GPS tracks to road geometry
Fix jittery coordinate data by passing your raw latitude and longitude arrays to `snap_to_roads`. It calculates the most probable path a vehicle actually traveled, turning messy sensor logs into clean, usable routes. This tool is critical when you need to visualize movement on a map. Claude Desktop handles the output, letting you verify the path against actual road networks before pushing data to your mapping service.
Get road segments and speed data for Claude Desktop
Stop guessing which road a coordinate belongs to by using `get_nearest_roads`. It identifies the specific segment for individual points, which helps when you have scattered location data that isn't part of a continuous path. If you need regulatory data alongside your coordinates, `get_snapped_speed_limits` fetches both the snapped location and the speed limit in one go. It saves you from chaining multiple API requests when you're building safety-critical tracking reports.
Query speed limits by place ID in Claude Desktop
Use `get_speed_limits` to pull legal speed values for specific segments after you have identified them with your initial lookups. It returns precise km/h data that you can use to flag speeding events or audit route compliance. This is the fastest way to get accurate, localized information for your specific road segments. You'll get the exact speed limit for the place IDs returned by previous tool calls, keeping your fleet safety logic grounded in official data.
Set up Google Roads MCP in Claude Web or Desktop
- 1
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
- 2
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcpReplace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials. - 3
Start a conversation
Open a new chat. The Google Roads MCP tools are available immediately — no restart needed.
Endpoint URL
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp No configuration file needed — paste the URL directly in the Claude web interface.
Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Google Roads MCP in Claude Desktop
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Google Roads MCP today
We host it, we monitor it, we maintain it. You just paste one token.