Monta MCP Server

Monta MCP Server

MCP server that enables LLMs to interact with Monta's EV charging platform for managing charge points, charging sessions, and wallet operations.

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README

Monta MCP Server

An MCP (Model Context Protocol) server that wraps the Monta Python SDK to provide LLM-friendly access to the Monta EV charging API.

Features

This MCP server exposes the following tools for interacting with Monta's EV charging platform:

Architecture Highlights

  • Efficient session management: Uses FastMCP's lifespan pattern to maintain a single persistent aiohttp session
  • Connection pooling: Reuses HTTP connections across all tool invocations for optimal performance
  • Type-safe context: All tools access shared resources through strongly-typed lifespan context
  • Proper cleanup: Automatically closes sessions on server shutdown
  • Robust error handling: State-changing operations include input validation, timeout protection (10s), and comprehensive error logging

Charge Point Management

  • get_charge_points - List all available charging stations with pagination
  • get_charge_point - Get detailed information about a specific charging station

Charging Operations

  • get_charges - View charging history/sessions with filtering options
  • start_charge - Start a charging session at a specific charge point
  • stop_charge - Stop an active charging session

Wallet & Payments

  • get_personal_wallet - View wallet balance and payment information
  • get_wallet_transactions - Get transaction history with filtering

Prerequisites

  • Python 3.11 or higher
  • Monta API credentials (client ID and client secret)
  • uv package manager (recommended) or pip

Installation

Using uv (recommended)

git clone <repository-url>
cd monta-mcp
uv sync

Using pip

git clone <repository-url>
cd monta-mcp
pip install -e .

Configuration

The server requires Monta API credentials set as environment variables:

export MONTA_CLIENT_ID="your_client_id"
export MONTA_CLIENT_SECRET="your_client_secret"

Getting Monta public API Credentials

Visit Monta Public API Portal and follow the guide

Usage

Running the Server

The server can be run directly:

# Using the installed script (default log: ./monta-mcp.log)
monta-mcp

# With custom log file location
monta-mcp --log-file /path/to/custom.log

# With custom log level
monta-mcp --log-level DEBUG

# Or using Python module
python -m monta_mcp

Command-line Options:

  • --log-file PATH - Path to log file (default: ./monta-mcp.log)
  • --log-level LEVEL - Logging level: DEBUG, INFO, WARNING, ERROR (default: INFO)

Testing with MCP Inspector

You can test the server using the MCP Inspector tool:

npx @modelcontextprotocol/inspector monta-mcp

This will open a web interface where you can:

  • View all available tools
  • Test tool calls with different parameters
  • See responses from the Monta API

Integrating with Claude Desktop

Add this configuration to your Claude Desktop config file:

MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "monta": {
      "command": "monta-mcp",
      "env": {
        "MONTA_CLIENT_ID": "your_client_id",
        "MONTA_CLIENT_SECRET": "your_client_secret"
      }
    }
  }
}

Or if using uv:

{
  "mcpServers": {
    "monta": {
      "command": "uv",
      "args": ["run", "monta-mcp"],
      "env": {
        "MONTA_CLIENT_ID": "your_client_id",
        "MONTA_CLIENT_SECRET": "your_client_secret"
      }
    }
  }
}

With custom log location:

{
  "mcpServers": {
    "monta": {
      "command": "uv",
      "args": ["run", "monta-mcp", "--log-file", "/Users/you/logs/monta.log"],
      "env": {
        "MONTA_CLIENT_ID": "your_client_id",
        "MONTA_CLIENT_SECRET": "your_client_secret"
      }
    }
  }
}

After adding the configuration, restart Claude Desktop. The Monta tools will be available in your conversations.

Example Usage in Claude

Once configured, you can ask Claude things like:

  • "Show me all my charging points"
  • "Get details for charge point 12345"
  • "What's my recent charging history?"
  • "Check my wallet balance"
  • "Start charging at station 12345"

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