Access Geolocation and Walkability Data
Geolocation MCP Server provides walkability, transit, and bike scores, plus nearby transit stops, for any location.
Maintainer of this project? Claim this page to edit the listing.
1.0.0Add to Favorites
Why it matters
Leverage this MCP server to integrate geolocation services into your applications. It provides access to transit stops, walkability, transit, and bike scores based on location data.
Outcomes
What it gets done
Retrieve nearest public transit stops for a given location.
Obtain WalkScore, TransitScore, and BikeScore for an address.
Process location inputs including addresses, coordinates, or both.
Integrate with WalkScore API for comprehensive location analysis.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-geolocation | bash Capabilities
Tools your agent gets
Get nearest public transit stops for a location
Get WalkScore, TransitScore, and BikeScore for a location
Overview
Geolocation MCP Server
The Geolocation MCP Server offers location-based services, including walkability, transit, and bike scores, as well as the ability to find nearby transit stops. It supports input via addresses, coordinates, or a combination of both. This server is useful for applications that require integrating location-specific data, such as walkability assessments, transit accessibility information, or identifying nearby transit options for a given location.
What it does
The Geolocation MCP Server provides geolocation services including WalkScore API integration for walkability, transit, and bike scores. It can find nearby transit stops for any location and works with addresses, coordinates, or both.
To get started, you can install the server using:
uvx mcp-server-geolocation
Then, configure your MCP client. For example, in Claude:
{
"mcpServers": {
"geolocation": {
"command": "uvx",
"args": ["mcp-server-geolocation"],
"env": {
"WALKSCORE_API_KEY": "your_api_key_here"
}
}
}
}
Source README
Geolocation MCP Server
A Model Context Protocol server that provides geolocation services including WalkScore API integration for walkability, transit, and bike scores.
Features
- Transit Stops: Find nearby transit stops for any location
- WalkScore: Get walkability scores for any address
- TransitScore: Get public transit accessibility scores
- BikeScore: Get bikeability scores for locations
- Location-based: Works with addresses, coordinates, or both
Available Tools
get_transit_stops- Get nearby transit stops for a locationget_walkscore- Get WalkScore, TransitScore, and BikeScore for a location
Quick Start
- Get a WalkScore API key from walkscore.com/professional/api.php
- Install the server:
uvx mcp-server-geolocation - Configure your MCP client (see Configuration section below)
- Start using the tools in your MCP-compatible application
Configuration
You'll need a WalkScore API key from walkscore.com/professional/api.php.
Configure for Claude.app
Add to your Claude settings:
{
"mcpServers": {
"geolocation": {
"command": "uvx",
"args": ["mcp-server-geolocation"],
"env": {
"WALKSCORE_API_KEY": "your_api_key_here"
}
}
}
}
Configure for VS Code
Add to your VS Code settings:
{
"mcp": {
"servers": {
"geolocation": {
"command": "uvx",
"args": ["mcp-server-geolocation"],
"env": {
"WALKSCORE_API_KEY": "your_api_key_here"
}
}
}
}
}
Usage
Once configured, the server provides two main tools:
get_transit_stops
Find nearby transit stops for any location:
- Input: Latitude and longitude coordinates
- Output: List of nearby transit stops with routes and distances
get_walkscore
Get walkability scores for any location:
- WalkScore: Measures how walkable a location is (0-100)
- TransitScore: Measures public transit accessibility (0-100)
- BikeScore: Measures bikeability (0-100)
Input options:
- An address (string) - e.g., "123 Main St, Seattle, WA"
- Latitude and longitude coordinates - e.g., 47.6085, -122.3295
- Both address and coordinates for better accuracy
Example usage in Claude:
- "Find transit stops near 40.7136, -73.9909"
- "What's the walkability score for 123 Main St, Seattle, WA?"
Installation
Using uv (recommended)
uvx mcp-server-geolocation
Using pip
pip install mcp-server-geolocation
FAQ
Common questions
Discussion
Questions & comments · 0
Sign In Sign in to leave a comment.