About ChargeNow MCP Server
ChargeNow MCP Server uses the ChargeNow API to find EV charging stations near an address for MCP-compatible AI assistants. It includes live availability and station details such as connectors, operators, and payment methods.
Key features
- 01Find nearby stations by address
- 02Check live charge-point status
- 03View distance and operator details
- 04See connector types and power
- 05Check payment options and opening hours
Use cases
- 01Find available chargers near a destination
- 02Compare station connectors and power levels
MCP support
It exposes the find_available_chargepoints tool to MCP clients for searching for EV charge points near an address.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEChargeNow MCP Server
A Model Context Protocol (MCP) server that provides EV charging station information using the ChargeNow API. This server allows AI assistants supporting the MCP protocol (such as Claude) to search for charging stations near a specified address.
Features
- Find available EV charging stations near a specified address
- Get real-time availability status of charging points
- View detailed information about charging stations including:
- Distance from the search location
- Address and operator information
- Available connector types and power levels
- Payment methods supported
- Opening hours information
Installation
- Clone the repository
- Install dependencies:
npm install
- Build the project:
npm run build
Configuration
The server requires an API key for geocoding services. You can configure it in one of the following ways:
1. Environment Variable
Set the GEOCODE_API_KEY environment variable:
export GEOCODE_API_KEY="your_api_key_here"
2. MCP Server Configuration
When using with an MCP client (like Claude), configure it in your MCP config:
{
"mcpServers": {
"chargenow": {
"command": "node",
"args": [
"/path/to/chargenow-mcp/build/index.js"
],
"config": {
"geocodeApiKey": "your_api_key_here"
}
}
}
}
Replace /path/to/chargenow-mcp/build/index.js with the absolute path to the built index.js file.
Claude Desktop Configuration
To use this server with Claude Desktop, add the following to your claude_desktop_config.json:
{
"mcpServers": {
"chargenow": {
"command": "node",
"args": [
"/path/to/chargenow-mcp/build/index.js"
],
"config": {
"geocodeApiKey": "your_api_key_here"
}
}
}
}
The file should be located at:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Usage
Once configured, you can use the charging station search functionality in Claude by asking questions like:
- "Find EV charging stations near Brandenburg Gate, Berlin"
- "Are there any available charging points in Munich city center?"
- "Show me charging stations near Bautzener Str Berlin"
Available Tools
This MCP server provides the following tool:
find_available_chargepoints
Finds available electric vehicle charge points near a given address.
Parameters:
address: The street address and city (e.g., "Bautzener Str Berlin")
Example response:
Charging Stations near Bautzener Str Berlin:
Summary:
• 5 charge points AVAILABLE
• 2 charge points in use (CHARGING)
• 1 charge points OFFLINE
Detailed Locations:
📍 Charging Station Berlin Mitte (0.89 km)
Address: Brückenstraße 5, 10179 Berlin
Operator: Allego
Payment: Credit Card, RFID
Hours: 24/7
Connectors: CCS (150kW), CHAdeMO (50kW), Type 2 (22kW)
Status:
• 2 available points
• 1 points in use
Last updated: 14:32:45
[...additional charging stations...]
API Key Information
This server uses geocode.maps.co for geocoding services. You need to obtain an API key from their website to use this server.
License
ISC
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.