pumperly-mcp

pumperly-mcp

MCP server that exposes any Pumperly instance to LLMs, enabling real-time fuel price queries, station search, route planning, and geocoding.

Category
Visit Server

README

<h1 align="center">Pumperly-MCP</h1>

<p align="center"> <a href="https://www.npmjs.com/package/pumperly-mcp"><img src="https://img.shields.io/npm/v/pumperly-mcp?style=flat-square&logo=npm" alt="npm"/></a> <img src="https://img.shields.io/badge/Go-1.24-blue?style=flat-square&logo=go&logoColor=white" alt="Go"/> <a href="https://hub.docker.com/r/drumsergio/pumperly-mcp"><img src="https://img.shields.io/docker/pulls/drumsergio/pumperly-mcp?style=flat-square&logo=docker" alt="Docker Pulls"/></a> <a href="https://github.com/GeiserX/pumperly-mcp/stargazers"><img src="https://img.shields.io/github/stars/GeiserX/pumperly-mcp?style=flat-square&logo=github" alt="GitHub Stars"/></a> <a href="https://github.com/GeiserX/pumperly-mcp/blob/main/LICENSE"><img src="https://img.shields.io/github/license/GeiserX/pumperly-mcp?style=flat-square" alt="License"/></a> </p> <p align="center"> <a href="https://registry.modelcontextprotocol.io"><img src="https://img.shields.io/badge/MCP-Official%20Registry-E6522C?style=flat-square" alt="Official MCP Registry"/></a> <a href="https://glama.ai/mcp/servers/GeiserX/pumperly-mcp"><img src="https://glama.ai/mcp/servers/GeiserX/pumperly-mcp/badges/score.svg" alt="Glama MCP Server" /></a> <a href="https://mcpservers.org/servers/geiserx/pumperly-mcp"><img src="https://img.shields.io/badge/MCPServers.org-listed-green?style=flat-square" alt="MCPServers.org"/></a> <a href="https://mcp.so/server/pumperly-mcp"><img src="https://img.shields.io/badge/mcp.so-listed-blue?style=flat-square" alt="mcp.so"/></a> <a href="https://github.com/toolsdk-ai/toolsdk-mcp-registry"><img src="https://img.shields.io/badge/ToolSDK-Registry-orange?style=flat-square" alt="ToolSDK Registry"/></a> </p>

<p align="center"><strong>A tiny bridge that exposes any Pumperly instance as an MCP server, enabling LLMs to query real-time fuel prices, find stations, plan routes, and geocode locations.</strong></p>


What you get

Type What for MCP URI / Tool id
Resources Browse configuration, statistics, and exchange rates read-only pumperly://config<br>pumperly://stats<br>pumperly://exchange-rates
Tools Find stations, calculate routes, and geocode locations find_nearest_stations<br>get_stations_in_area<br>calculate_route<br>find_route_stations<br>geocode

Everything is exposed over a single JSON-RPC endpoint (/mcp). LLMs / Agents can: initialize -> readResource -> listTools -> callTool ... and so on.


Quick-start (Docker Compose)

services:
  pumperly-mcp:
    image: drumsergio/pumperly-mcp:latest
    ports:
      - "127.0.0.1:8080:8080"
    environment:
      - PUMPERLY_URL=https://pumperly.com

Security note: The HTTP transport listens on 127.0.0.1:8080 by default. If you need to expose it on a network, place it behind a reverse proxy with authentication.

Install via npm (stdio transport)

npx pumperly-mcp

Or install globally:

npm install -g pumperly-mcp
pumperly-mcp

This downloads the pre-built Go binary from GitHub Releases for your platform and runs it with stdio transport. Requires at least one published release.

Local build

git clone https://github.com/GeiserX/pumperly-mcp
cd pumperly-mcp

# (optional) create .env from the sample
cp .env.example .env && $EDITOR .env

go run ./cmd/server

Configuration

Variable Default Description
PUMPERLY_URL https://pumperly.com Pumperly instance URL (without trailing /)
LISTEN_ADDR 127.0.0.1:8080 HTTP listen address (Docker sets 0.0.0.0:8080)
TRANSPORT (empty = HTTP) Set to stdio for stdio transport

Put them in a .env file (from .env.example) or set them in the environment.

Testing

Tested with Inspector and it is currently fully working. Before making a PR, make sure this MCP server behaves well via this medium.

Example configuration for client LLMs

{
  "schema_version": "v1",
  "name_for_human": "Pumperly-MCP",
  "name_for_model": "pumperly_mcp",
  "description_for_human": "Query real-time fuel prices, find stations, plan routes, and geocode locations via Pumperly.",
  "description_for_model": "Interact with a Pumperly instance that aggregates fuel station data. First call initialize, then reuse the returned session id in header \"Mcp-Session-Id\" for every other call. Use readResource to fetch URIs that begin with pumperly://. Use listTools to discover available actions and callTool to execute them.",
  "auth": { "type": "none" },
  "api": {
    "type": "jsonrpc-mcp",
    "url":  "http://localhost:8080/mcp",
    "init_method": "initialize",
    "session_header": "Mcp-Session-Id"
  },
  "logo_url": "https://pumperly.com/logo.png",
  "contact_email": "acsdesk@protonmail.com",
  "legal_info_url": "https://github.com/GeiserX/pumperly-mcp/blob/main/LICENSE"
}

Credits

Pumperly -- real-time fuel price aggregation

MCP-GO -- modern MCP implementation

GoReleaser -- painless multi-arch releases

Maintainers

@GeiserX.

Contributing

Feel free to dive in! Open an issue or submit PRs.

Pumperly-MCP follows the Contributor Covenant Code of Conduct.

Other MCP Servers by GeiserX

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured