How to Use the TomTom MCP in VS Code Copilot

Q: How do I search using TomTom in VS Code Copilot?

You use fuzzygeocoding. You feed it a partial or slightly inaccurate physical address string, and the tool returns precise coordinates. It's the best function for handling user input when geocoding.

Q: What is the most structured way to get location data with TomTom in VS Code Copilot?

Use structuredgeocoding. When you know all the components—like country code, city name, and postal code—this function provides the highest accuracy for turning those parts into coordinates.

Q: How does TomTom help with routing in VS Code Copilot?

The calculateroute tool gives you the full polyline and summary. This is essential data for writing pathfinding or logistics logic that needs accurate, tested travel times.

Q: If I need TomTom POI details in VS Code Copilot?

Use getpoidetails. You must supply a Point of Interest ID first; the tool then returns rich metadata for that specific location, letting your team write robust data consumers.

Global mapping, routing, and real-time traffic powered by TomTom within Copilot Chat for VS Code.

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Connect TomTom MCP to VS Code Copilot

Create your Vinkius account to connect TomTom to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup TomTom with VS Code Copilot

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Calculate Optimal Routes for Engineering Logic

When building navigation features into a project, use `calculate_route` to return both the route polyline and a travel time summary. This information is critical for writing accurate pathfinding code. It's perfect for team-wide configuration because every developer gets access to this capability via `.vscode/mcp.json`. Just point it between two coordinates, and you get the full itinerary data.

Find POIs by Category Across Teams

Need to locate services like banks or schools? Use `search_poi_by_category`, providing a category name and a center coordinate. This function populates your code with useful, real-world data. Once you have an ID, run `get_poi_details`. This pulls rich metadata about that specific Point of Interest, letting the whole team write against accurate location attributes.

Determine Traffic Flow for Project Testing

Your code needs to react to traffic. Use `get_traffic_flow_segment` by supplying center coordinates. This gives your developers the current speed and quality data needed to simulate travel time. For broader testing, use `get_traffic_incidents`. By providing a min/max bounding box of lat/lon, you can check for any real-time traffic issues across an entire area.

Setup guide

Set up TomTom MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the TomTom MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the TomTom tools listed. Try asking: "List my recent TomTom transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "tomtom-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about TomTom MCP in VS Code Copilot

You use `fuzzy_geocoding`. You feed it a partial or slightly inaccurate physical address string, and the tool returns precise coordinates. It's the best function for handling user input when geocoding.

Use `structured_geocoding`. When you know all the components—like country code, city name, and postal code—this function provides the highest accuracy for turning those parts into coordinates.

The `calculate_route` tool gives you the full polyline and summary. This is essential data for writing pathfinding or logistics logic that needs accurate, tested travel times.

Use `get_poi_details`. You must supply a Point of Interest ID first; the tool then returns rich metadata for that specific location, letting your team write robust data consumers.

This server interacts with geographical coordinates (latitude/longitude) and physical address strings. It does not access private user credentials or non-public system data types.

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