• SPATIAL
  • COMPARATIVE
  • LISTING
  • HUMAN

How to analyze urban amenity density with your AI

Connect Overpass to your AI to pull real-world spatial data from OpenStreetMap. Once connected, your agent can map out exactly where services are located in any neighborhood.

Ask AI about this page

Short answer

How can I use my AI to map city amenities?

Your AI uses the Overpass MCP to query OpenStreetMap for specific tags like cafes, schools, or transit stops. You can then ask it to compare the density of these services between different districts or neighborhoods. This gives you a data-driven look at urban infrastructure distribution.

Data outcomes

What your AI produces

The results of your spatial queries.

SPATIAL

Amenity counts

The AI counts specific features within a boundary. You get a clear number of how many hospitals or parks exist in a specific zone.

COMPARATIVE

District gaps

Compare two areas to see which one is underserved. Your agent identifies where certain services are missing compared to neighboring districts.

LISTING

Service directories

Get a clean list of every instance of a specific tag. This turns raw map data into a structured list of addresses or names.

HUMAN

Visual verification

The AI provides the data, but you must check the map to confirm the spatial context. You decide if the density meets your specific planning needs.

The workflow

What your AI does when the request arrives.

The AI translates your natural language questions into precise map queries.

  1. Identify targets

    The AI determines which specific OSM tags match your request, such as identifying 'amenity=restaurant' or 'leisure=park'.

    search_by_tag

  2. Locate services

    It finds the exact locations of the requested amenities within your specified city or district boundaries.

    search_amenities

  3. Run complex logic

    For advanced spatial analysis, the AI writes and executes specific query strings to find intersections or specific patterns.

    custom_query

  4. Summarize findings

    The agent processes the raw data to give you counts, averages, or comparisons between different urban zones.

    search_amenities

Try it

Copy these to start.

Use these prompts to begin your spatial analysis.

Starting points

Swap out the bracketed text for the specific city or amenity you want to study.

Overpass API Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_DGkmVxEbxmLxMu1OyGbUJIrzjQi3rn2xOK8B2fYg/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Overpass API capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "overpass-openstreetmap-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_DGkmVxEbxmLxMu1OyGbUJIrzjQi3rn2xOK8B2fYg/mcp"
    }
  }
}
Copy into chat04

  • Find all the pharmacies in [Brooklyn, NY] and tell me how many are in each neighborhood.

  • Compare the density of public parks in [London] versus [Manchester].

  • List all the subway stations within 500 meters of [the Eiffel Tower].

  • How many schools are located in the [Downtown Chicago] district?

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Overpass once, then ask.

One click connects the Overpass MCP to your client. Your credentials stay encrypted, and you can start querying OpenStreetMap immediately.

Connect Overpass to your AI

FAQ

How this task behaves

  • 01

    Can the AI add new locations to the map?

    No. This MCP only reads data from OpenStreetMap. It cannot edit, delete, or add any information to the map.

  • 02

    Does the AI provide a visual map image?

    No. The AI provides the data, counts, and lists. You will need to use a separate mapping tool to visualize the results.

  • 03

    Can I query specific street names?

    Yes, as long as those streets are indexed in OpenStreetMap, the AI can find them.

  • 04

    Can the AI calculate walking distances?

    No. The AI can find locations and count them, but it does not have a routing engine to calculate travel times or distances.

  • 05

    Is the data real-time?

    The AI pulls the most recent data available on OpenStreetMap at the moment you run the query.

  • More questions about Overpass? The Connector page answers them. See everything the Overpass Connector can do

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