• DATA
  • MAPS
  • SPECS
  • HUMAN

How to map electric vehicle infrastructure with your AI

Connect Overpass to your AI client to pull live charging station data from OpenStreetMap. Once connected, you can query specific locations and technical details instantly.

Ask AI about this page

Short answer

How can I map EV charging stations with my AI?

Your AI uses the Overpass Connector to query OpenStreetMap for charging station locations, plug types, and power outputs. You get structured data you can use for mapping or site analysis. This breakdown shows how to pull that data.

Data outcomes

What you get from the data

The AI turns raw OpenStreetMap tags into organized information.

DATA

Live station lists

The AI pulls current locations and technical specs from OpenStreetMap. You get a clean list of chargers in your target area.

MAPS

Geographic layouts

Your agent identifies coordinates and spatial relationships. This makes it easy to visualize charger density in specific neighborhoods.

SPECS

Technical details

The AI extracts plug types, voltage, and availability tags. You can filter for specific hardware requirements immediately.

HUMAN

Manual verification

You decide which data points are accurate enough for your final project. The AI provides the raw facts, but you make the call on reliability.

The workflow

What your AI does when the request arrives.

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

  1. Locate chargers

    The AI finds all charging points within your specified boundary or city.

    search_charging_stations

  2. Filter by type

    It narrows down the results based on specific plug standards or power levels.

    search_charging_stations

  3. Extract metadata

    The agent pulls specific tags like connector type or charging speed from the map data.

    search_charging_stations

  4. Format output

    The AI organizes the raw OSM data into a readable list or a structured format for your use.

    search_charging_stations

Try it

Copy these to start.

Use these prompts to begin your search.

Starting points

Swap out the city names or plug types with the specific locations you need to investigate.

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 EV charging stations in downtown Seattle and list their plug types.

  • Search for fast chargers in Austin, Texas, that support CCS connectors.

  • List the technical specifications for all charging stations in San Francisco.

  • How many charging stations are located near the airport in Denver?

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

Start here

Connect Overpass once, then ask.

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

Connect Overpass to your AI

FAQ

How this task behaves

  • 01

    Can the AI add new charging stations to the map?

    No. The AI can only read and query existing data from OpenStreetMap.

  • 02

    Does the AI provide real-time availability of every charger?

    No. It only retrieves the data currently tagged in OpenStreetMap; if a station hasn't updated its status in the map, the AI won't know.

  • 03

    Can I export this data to a CSV file?

    The AI can format the data as a table or a list that you can copy, but it doesn't generate downloadable files directly.

  • 04

    How accurate is the technical specification data?

    The accuracy depends entirely on the quality of the OpenStreetMap community contributions.

  • 05

    Can the AI change my local map settings?

    No. The AI only interacts with the OpenStreetMap data through the connector.

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

Connect Overpass API to Claude, Cursor, ChatGPT & more