# Google Roads MCP for AI Agents AI Agent Connect

> Google Roads lets you snap raw GPS coordinates to real road geometries and retrieve posted speed limits. Use it to clean noisy vehicle telemetry, map accurate routes, and identify road segments for fleet management or GIS analysis.

## Overview
- **Category:** industry-titans
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_icL7P1wSdhqlP5hejAj1lwlYwJ0IrlWvNXEfqUmc/ai-agent-connect
- **Tags:** gps-tracking, map-matching, road-geometry, speed-limits, telemetry

## Description

Google Roads lets you turn messy, raw GPS pings into actual road paths. If you're dealing with fleet telemetry or mapping apps, you know how frustrating it is when a vehicle's GPS drifts into a nearby building or a field. This Connector fixes that by snapping those coordinates to the nearest drivable road geometry. You can also pull posted speed limits for those segments to see if drivers are actually following the rules. It handles the heavy lifting of coordinate interpolation and place ID mapping so you don't have to write custom logic for every route. When you plug this into your workflow via the Vinkius catalog, your agent becomes a specialized GIS analyst. You just feed it the raw data and tell it to clean it up or find the nearest streets. It's about getting usable map data without the headache of manual coordinate correction.

## Tools

### get_nearest_roads
Identifies the closest road segment for individual GPS points that do not form a continuous path.

### snap_to_roads
Matches GPS paths to roads with interpolated points and place IDs for smooth route reconstruction.

### get_snapped_speed_limits
Snaps coordinates to roads and returns the posted speed limits in a single request.

### get_speed_limits
Pulls speed limit values for specific road segments using their unique place IDs.

## Prompt Examples

**Prompt:** 
```
Can you snap these points to the nearest roads and tell me the speed limits?
```

**Response:** 
```
I've processed those coordinates for you. Here is the road data:

| Original | Snapped | Place ID | Speed Limit |
| :--- | :--- | :--- | :--- |
| 40.7128, -74.0060 | 40.712820, -74.005980 | ChIJd8BlQ2BZwokRAFUEcm_qrcA | 40 km/h |
| 40.7135, -74.0055 | 40.713510, -74.005490 | ChIJd8BlQ2BZwokRAFUEcm_qrcB | 40 km/h |

All points were matched to Broadway in New York.
```

**Prompt:** 
```
I have a messy GPS track for a delivery van. Can you clean it up?
```

**Response:** 
```
I've analyzed the raw telemetry and snapped the points to the road network. 

**Results:**
* **Drift Removed:** Coordinates that were drifting into nearby structures have been corrected.
* **Path Smoothed:** I've interpolated points to give you a continuous, smooth geometry.
* **Place IDs:** I've also attached the Place IDs for each segment in case you need to link them to other maps.
```

**Prompt:** 
```
What's the speed limit on the road at these coordinates?
```

**Response:** 
```
The nearest road to those coordinates is **Spring Street** in Los Angeles. 

* **Posted Speed Limit:** 35 km/h
* **Road Segment Info:** Urban zone

Would you like me to find the nearest roads for any other points?
```

## Capabilities

### Snap GPS points to roads
Convert raw coordinates into smooth road geometries with interpolated points.

### Retrieve posted speed limits
Get the legal speed limits for specific road segments using place IDs.

### Find nearest road segments
Identify the closest road for individual GPS points that don't form a path.

### Map Google Place IDs
Automatically obtain place IDs for road segments to use with other maps APIs.

### Clean fleet telemetry
Remove GPS drift and noise from vehicle tracks for accurate route visualization.

### Batch coordinate processing
Process up to 100 coordinate pairs in a single request for faster data handling.

## Use Cases

### Fleet Speed Compliance
A manager asks the agent to check if a truck stayed under the speed limit on a specific route using get_snapped_speed_limits.

### Smooth Route Visualization
A developer wants to turn a jagged GPS trail from a bike ride into a smooth line on a map using snap_to_roads.

### Accident Safety Audit
An analyst asks for the speed limits of a road where a collision occurred to see if the driver was speeding using get_speed_limits.

### GIS Point Snapping
A professional needs to snap a set of scattered survey points to the nearest city streets using get_nearest_roads.

## Benefits

- Get smooth road geometries by using snap_to_roads to interpolate points between raw GPS coordinates.
- Save on API calls by using get_snapped_speed_limits to get both road matching and speed data in one go.
- Clean up messy vehicle telemetry with snap_to_roads to remove GPS drift and noisy data from your tracks.
- Simplify integration with other Google Maps features by automatically grabbing place IDs from road segments.
- Analyze driver behavior accurately by pulling legal speed limits via get_speed_limits for specific segments.
- Process up to 100 coordinates at a time to handle batch data without making individual requests.

## How It Works

The bottom line is you get clean, road-aligned GPS data and speed limits through a simple chat interface.

1. Subscribe to the Google Roads MCP on Vinkius.
2. Enter your Google Maps Platform API key with the Roads API enabled.
3. Give your agent raw coordinates to snap to roads or fetch speed limits.

## Frequently Asked Questions

**Can the Google Roads MCP clean up jumpy GPS data?**
Yes, it snaps noisy GPS pings to the nearest drivable road geometry. This removes the 'jitter' caused by GPS drift and creates a smooth path for your maps.

**How does the Google Roads MCP help with fleet management?**
It allows you to see exactly which roads your vehicles traveled on and helps you monitor speed compliance by pulling posted limits for those specific segments.

**Can I get speed limits for a specific road with the Google Roads MCP?**
Yes, you can pull posted speed limits for road segments using their place IDs. This is great for analyzing driver behavior against legal limits.

**Does the Google Roads MCP work for batch coordinates?**
Yes, it can handle up to 100 coordinate pairs in a single request. This makes it efficient for processing large sets of telemetry data at once.

**Can I use the Google Roads MCP to find the nearest street for a single point?**
Yes, the tool can identify the nearest road segment for individual points, even if they aren't part of a continuous path or sequence.

**How does the Google Roads MCP handle different road types?**
It identifies the most likely roads traveled and provides the corresponding road geometry and posted speed limits, regardless of whether it's an urban or rural road.

**Can my AI snap a GPS track to the actual roads travelled?**
Yes! Use the `snap_to_roads` tool with your GPS coordinates in path format (latitude,longitude pairs separated by pipes). For example: path=40.7128,-74.0060|40.7135,-74.0055|40.7142,-74.0048. Set interpolate=true for smoother road geometry with additional interpolated points between your input coordinates. The response includes snapped coordinates, original coordinates, and place IDs for each road segment.

**How do I get speed limit data for a specific road segment?**
Use the `get_speed_limits` tool with place IDs obtained from snap_to_roads or get_nearest_roads responses. For example: place_ids=ChIJplaceId1|ChIJplaceId2|ChIJplaceId3. The API returns speed limits in km/h for each road segment. If you need both snapped coordinates AND speed limits in one call, use `get_snapped_speed_limits` with a GPS path instead.

**What is the difference between snap_to_roads and get_nearest_roads?**
snap_to_roads assumes your coordinates form a continuous path and snaps them to the most likely sequence of roads travelled, with optional interpolation for smoother geometry. get_nearest_roads treats each coordinate independently and finds the nearest road segment for each point without assuming they form a path. Use snap_to_roads for GPS tracks and routes, and get_nearest_roads for scattered individual points.