pumperly-mcp

MCP serverDev tools

Once added, your AI can look up fuel prices, find fuel stations, and plan routes, so fueling questions get answered in one conversation. This is a community-built listing for Pumperly, and its code is available on GitHub.

Unavailable. This server has no hosted endpoint yet, so Ahel can't serve it.

Add to setup to save this item as a reference. Ahel cannot run it, and signing in will not install it.

What your AI can do with it

  • Look up fuel prices
  • Find fuel stations
  • Plan routes for a trip
  • Check fuel prices at the stations it finds

Getting started

  1. Save this item in Your setup as a reference.
  2. Read the source or reference documentation for its setup requirements. Saving it here does not connect it to your AI.
  3. Check this page for availability before trying to install it through Ahel.

From the project's README

As published by geiserx/pumperly-mcp in README.md.

A small bridge that exposes any Pumperly instance as an MCP server, so an AI agent can query fuel prices, find stations, plan routes and geocode places.

Features

  • Five tools: find_nearest_stations, get_stations_in_area, calculate_route, find_route_stations, geocode.
  • Three read-only resources: pumperly://config, pumperly://stats, pumperly://exchange-rates.
  • Two transports: stdio, and HTTP on a single /mcp endpoint.
  • An npm package that downloads the release binary for your platform and runs it over stdio.
  • A Docker image for amd64 and arm64.
  • Works with the public instance at pumperly.com or your own: set PUMPERLY_URL.
  • No API key: it reads the Pumperly API anonymously.

Quick start

Add this to your MCP client's configuration (Claude Desktop, Claude Code, Cursor and others read the mcpServers format):

{
  "mcpServers": {
    "pumperly": {
      "command": "npx",
      "args": ["-y", "pumperly-mcp"],
      "env": { "PUMPERLY_URL": "https://pumperly.com" }
    }
  }
}

For the HTTP transport (/mcp on port 8080) run the Docker image; see Getting started.

Documentation

  • Getting started: npm, Docker Compose, building from source, connecting a client
  • Configuration: environment variables
  • Usage: tools, resources, the request flow, testing with the Inspector
  • Related projects: the Pumperly family, other MCP servers, registry listings

License

GPL-3.0-or-later

Signals

GitHub stars
3
Forks
1
Last commit
Oct 2026
Weekly downloads
273
Advanced
Delivery
pumperly-mcp MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-geiserx-pumperly-mcp
Source
github.com/geiserx/pumperly-mcp