EV Charging Stations Skill

What this skill does

EV Charging Stations finds electric vehicle charging stations within a radius of a point, a ZIP or postal code, or a city, across the US and Canada, sorted by distance. Each station returns its address, coordinates, distance, status, access, network, Level 1, Level 2 and DC fast port counts and connector types. Filter by connector, network, charging level or fast charging only. Paid plans add charging power in kW, pricing, access hours, phone, facility type and open dates. You switch it on with a single toggle — no SDK and no endpoint wiring — and it answers over MCP or REST using the same key as every other skill.

See it work

A real response from the EV Charging Stations Skill — exactly what your agent gets back when it makes the call.

vervekit · evchargingstationstool call

{
  "lat": "37.7749",
  "lon": "-122.4194",
  "radius": "2",
  "fastOnly": "true"
}

result

count: 16
returned: 2
searchCenter: { … }
radiusKm: 2
stations: [ 2 items ]

Run it with your own input. Live calls happen in your dashboard, on your key.

Ways to use it

One toggle, a new capability

Enable EV Charging Stations and your app or agent can add ev charging stations to your app on demand — no SDK, no endpoint wiring. It answers over MCP or REST using the same key as every other skill.

A tool agents call themselves

Over MCP, EV Charging Stations appears to your model as the evchargingstations tool it invokes whenever a task needs it — you don't write the glue, the agent reaches for it.

REST from any backend

Prefer to call it directly? Any language that can send a GET can hit EV Charging Stations to add ev charging stations to your app inline in your own server-side code.

Use it in your app

Once enabled, this skill is reachable two ways — pick whichever fits how you build. Both use the same key.

For AI agentsMCP

It appears to your model as a callable tool. No extra code — the agent invokes it when a task needs it.

evchargingstations

For apps & backendsREST

Call it from your server with one request and your key. Node, Python, Go — anything that can send a GET.

GET /v1/evchargingstations

Ask your agent

“Enable EV Charging Stations and ask your agent to add ev charging stations to your app.”
“Use the EV Charging Stations skill for me.”

EV Charging Stations Skill, answered

How to connect it over MCP or REST.

How do I add EV Charging Stations to my app or agent?

Enable the EV Charging Stations Skill on VerveKit, then reach it two ways with the same key: over MCP (it appears to your agent as the evchargingstations tool) or over REST (call it from any backend). No SDK to install and no endpoint to wire.

MCP or REST — which should I use?

Both work off one key. Use MCP when an AI agent should decide when to add ev charging stations to your app — the skill shows up as a callable tool. Use REST when your own server-side code should call it directly. Many apps use both.

Which agents and frameworks does it work with?

Any MCP client — Claude, Cursor, LangChain, and custom agents all speak the Model Context Protocol, so EV Charging Stations appears as a standard tool with nothing skill-specific to integrate.

How many credits does a EV Charging Stations call cost?

Each call costs 1 credit. Every skill rides the same key and the same connection, so enabling more skills doesn't add more integrations to manage.

Do I need to install anything?

No SDK and no endpoint wiring — enabling the skill is a toggle. You point your agent at the VerveKit MCP endpoint (or call REST) and EV Charging Stations is available immediately.

Where does the data come from, and what shows on my bill?

VerveKit runs on APIVerve, our production data engine; EV Charging Stations is one of 300+ skills on the same key. Invoices and card statements show APIVERVE.

One toggle, a new capability

A tool agents call themselves

REST from any backend

EV Charging Stations Skill, answered

Other ways to use EV Charging Stations

Give your software a way to act on the world.

Scaling in production?