Distance Calculator Skill

What this skill does

Let your agent measure the distance between two points. Call it as an MCP tool to get miles, kilometers, bearing and direction from coordinates. 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 Distance Calculator Skill — exactly what your agent gets back when it makes the call.

vervekit · distancecalculatortool call

{
  "lat1": 36.7783,
  "lon1": -119.4179,
  "lat2": 34.0522,
  "lon2": -118.2437
}

result

distanceMiles: 199.6804337234997
distanceKm: 321.2535462758628
location1: { … }
location2: { … }
bearing: 198
direction: South
estimatedDriveTime: 5h 11m

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

Ways to use it

Location smarts in one toggle

Enable Distance Calculator and your app can calculate distance — geocode, resolve timezones, measure distance — without integrating a maps provider or managing another key.

A tool agents call to place things

Over MCP, distancecalculator becomes the tool your model reaches for whenever it needs to ground reasoning in a real location.

Compose with your logic

Call Distance Calculator from your backend and feed its structured output straight into the code you already have.

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.

distancecalculator

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/distancecalculator

Ask your agent

“Enable Distance Calculator and ask your agent to calculate distance.”
“Where is this location and what timezone is it in?”

Distance Calculator Skill, answered

How to connect it over MCP or REST.

How do I add Distance Calculator to my app or agent?

Enable the Distance Calculator Skill on VerveKit, then reach it two ways with the same key: over MCP (it appears to your agent as the distancecalculator 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 calculate distance — 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 Distance Calculator appears as a standard tool with nothing skill-specific to integrate.

How many credits does a Distance Calculator 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 Distance Calculator is available immediately.

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

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

Location smarts in one toggle

A tool agents call to place things

Compose with your logic

Distance Calculator Skill, answered

Give your software a way to act on the world.

Scaling in production?