2,500+ MCP servers ready to use
Vinkius

Google Roads MCP Server for Windsurf 4 tools — connect in under 2 minutes

Built by Vinkius GDPR 4 Tools IDE

Windsurf brings agentic AI coding to a purpose-built IDE. Connect Google Roads through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Google Roads and 2,500+ MCP Servers from a single visual interface.

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "google-roads": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Google Roads
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Google Roads MCP Server

Connect your Google Roads API to any AI agent and take full control of GPS map matching, road segment identification, and speed limit data retrieval through natural conversation.

Windsurf's Cascade agent chains multiple Google Roads tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 4 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

What you can do

  • Snap to Roads — Match GPS coordinate paths to the most likely roads travelled with interpolated points for smooth road geometry
  • Nearest Roads — Find the nearest road segment for up to 100 individual GPS coordinates independently
  • Speed Limits — Get posted speed limit data for specific road segments using place IDs from road matching
  • Snapped Speed Limits — Snap GPS coordinates to roads AND get speed limits in a single combined request
  • Place ID Mapping — Obtain Google place IDs for road segments that can be used with other Google Maps APIs
  • Fleet Tracking — Clean noisy GPS traces from fleet vehicles for accurate route visualization
  • GPS Correction — Convert raw GPS points into accurate road-level positions for mapping applications

The Google Roads MCP Server exposes 4 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Google Roads to Windsurf via MCP

Follow these steps to integrate the Google Roads MCP Server with Windsurf.

01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"

02

Add the server

Paste the JSON configuration above into mcp_config.json

03

Save and reload

Windsurf will detect the new server automatically

04

Start using Google Roads

Open Cascade and ask: "Using Google Roads, help me...". 4 tools available

Why Use Windsurf with the Google Roads MCP Server

Windsurf provides unique advantages when paired with Google Roads through the Model Context Protocol.

01

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

02

Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

03

JSON-based configuration means zero code changes: paste a URL, reload, and all 4 tools are immediately available

04

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Google Roads + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Google Roads MCP Server delivers measurable value.

01

Automated code generation: ask Cascade to fetch data from Google Roads and generate models, types, or handlers based on real API responses

02

Live debugging: query Google Roads tools mid-session to inspect production data while debugging without leaving the editor

03

Documentation generation: pull schema information from Google Roads and have Cascade generate comprehensive API docs automatically

04

Rapid prototyping: combine Google Roads data with Cascade's code generation to scaffold entire features in minutes

Google Roads MCP Tools for Windsurf (4)

These 4 tools become available when you connect Google Roads to Windsurf via MCP:

01

get_nearest_roads

Returns the snapped coordinate, the original coordinate, and the place ID for each nearest road segment. Unlike snapToRoads which assumes coordinates form a continuous path, nearestRoads treats each point independently. Essential for reverse geocoding, finding which road a vehicle is on, identifying road segments for individual location points, and mapping scattered GPS points to roads. Each point is matched to the nearest road segment within a reasonable distance. Place IDs can be used with the speed limits endpoint. AI agents should reference this when users ask "what road is at these coordinates", "find the nearest road for each GPS point", or need to map individual location points to road segments without assuming a path. Get the nearest road segments for up to 100 individual GPS coordinates

02

get_snapped_speed_limits

Snaps GPS coordinates to the nearest road segments and returns both the snapped coordinates with place IDs AND the speed limits for each road segment. This is more efficient than making separate calls to snapToRoads and then speedLimits. Returns snapped points with place IDs, original coordinates, and speed limit data in km/h for each road segment. Essential for applications that need both map-matched road geometry and speed limit data, such as fleet management, driver safety monitoring, route planning with speed awareness, and GPS track analysis. AI agents should reference this when users ask "snap these GPS points to roads and show speed limits", "get both snapped coordinates and speed limits for this route", or need combined road matching and speed limit data in one call. Snap GPS coordinates to roads and get speed limits in a single request

03

get_speed_limits

Returns speed limit values in km/h along with the place IDs and corresponding road segment information. Place IDs are obtained from the snapToRoads or nearestRoads responses. Essential for speed compliance monitoring, fleet safety management, driver behavior analysis, and road safety applications. Speed limits reflect posted legal limits and may vary by road type, urban/rural designation, and local regulations. AI agents should use this when users ask "what is the speed limit on this road segment", "get speed limits for these place IDs", or need speed limit data for specific road segments identified through map matching. Get speed limit data for specific road segments using place IDs

04

snap_to_roads

Returns snapped coordinates with place IDs, original coordinates, and interpolated points along the road. Essential for map matching, GPS track correction, route reconstruction, fleet tracking visualization, and converting raw GPS traces into clean road geometries. The path parameter accepts up to 100 coordinate pairs in "lat,lng|lat,lng" format. Set interpolate=true to return additional points between input coordinates for smoother road geometry. Place IDs returned can be used with the speed limits endpoint to get speed limit data for each road segment. AI agents should use this when users ask "snap this GPS track to roads", "match these coordinates to the actual roads travelled", or need to clean up noisy GPS data for mapping and visualization. Snap GPS coordinates to the most likely roads travelled using Google Roads API

Example Prompts for Google Roads in Windsurf

Ready-to-use prompts you can give your Windsurf agent to start working with Google Roads immediately.

01

"Snap these GPS coordinates to roads: 40.7128,-74.0060|40.7135,-74.0055|40.7142,-74.0048"

02

"Get speed limits for these place IDs: ChIJd8BlQ2BZwokRAFUEcm_qrcA|ChIJd8BlQ2BZwokRAFUEcm_qrcB"

03

"Find the nearest road to these coordinates: 34.0522,-118.2437 and 34.0530,-118.2445"

Troubleshooting Google Roads MCP Server with Windsurf

Common issues when connecting Google Roads to Windsurf through the Vinkius, and how to resolve them.

01

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Google Roads + Windsurf FAQ

Common questions about integrating Google Roads MCP Server with Windsurf.

01

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
02

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
03

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.

Connect Google Roads to Windsurf

Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.