MCP EV Assistant Server

by Abiorh001

232 downloads Not rated yet

GitHub

About

A powerful server implementation for managing Electric Vehicle (EV) charging stations, trip planning, and resource management. This server provides a comprehensive set of tools and APIs for EV-related services.

Explore

- Locate EV charging stations by address, distance, and socket type
- Plan EV-friendly routes with automatic charging stop integration
- Consider vehicle range and current charge level
- Manage PDF documents with automatic text extraction
- Support resource subscriptions for real-time updates
- Provide interactive prompts for charging and route planning

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name MCP EV Assistant Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

From the repository

python -m venv .venv source .venv/bin/activate # On Linux/Mac

bash
uv sync



Create a .env file in your project root with the following variables:

bash
OPENCHARGE_MAP_API_KEY=your_opencharge_map_api_key
GOOGLE_MAP_API_KEY=your_google_map_api_key



Create or update servers_config.json:

json
{
"mcpServers": {
"ev_assistant": {
"command": "/home/$USER/path/mcp_learning/.venv/bin/python",
"args": ["/home/$USER/path/mcp_ev_assistant_server/ev_assistant_server.py"],
"env": {
"OPENCHARGE_MAP_API_KEY": "your_opencharge_map_api_key",
"GOOGLE_MAP_API_KEY": "your_google_map_api_key"
}
}
}
}
```

`address`

Location to search around (string, required)

`max_distance`

Search radius in kilometers (integer, required)

`socket_type`

Type of charging socket (string, required)

`user_address`

Starting location (string, required)

`user_destination_address`

Destination location (string, required)

1. charge_points_locator
- Purpose: Find EV charging stations near a location
- Parameters:
- address: Location to search around (string, required)
- max_distance: Search radius in kilometers (integer, required)
- socket_type: Type of charging socket (string, required)

2. ev_trip_planner
- Purpose: Plan an EV-friendly route
- Parameters:
- user_address: Starting location (string, required)
- user_destination_address: Destination location (string, required)
- socket_type: Preferred charging socket type (string, required)

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcp ev assistant server": {
            "mcp_ev_assistant_server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

McpServers

{
    "mcp_ev_assistant_server": {
        "command": "python",
        "args": [
            "-m",
            "venv",
            ".venv"
        ]
    }
}

- Features - Installation - Configuration - Usage - API Reference - Resource Management - Error Handling - Development - Contributing - License

Features

1. EV Charging Station Services

- Charging Station Locator: Find nearby EV charging stations based on location and preferences - Socket Type Filtering: Search for specific charging socket types (CCS, CHAdeMO, Type 2, etc.) - Distance-based Search: Specify search radius for finding charging stations

2. Trip Planning

- Route Planning: Plan EV-friendly routes between locations - Charging Stop Integration: Automatically includes necessary charging stops - Range Consideration: Takes into account vehicle range and current charge level

3. Resource Management

- PDF Document Management: Handles EV-related PDF documents (user guides, manuals, etc.) - Resource Subscription: Supports resource subscription for real-time updates - Automatic Text Extraction: PDF text extraction with fallback mechanisms

4. Interactive Prompts

- Charging Station Search: Interactive prompts for finding charging stations - Charging Time Estimation: Calculate charging duration based on various parameters - Route Planning Assistance: Interactive route planning with charging considerations

Installation

1. Clone the Repository

git clone https://github.com/Abiorh001/mcp_ev_assistant_server.git
cd mcp_ev_assistant_server

2. Set Up Virtual Environment (Recommended)

```bash python -m venv .venv source .venv/bin/activate # On Linux/Mac

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About

Explore

Setting up with Highlight

From the repository

address

max_distance

socket_type

user_address

user_destination_address

Claude Desktop / Cursor

McpServers

Table of Contents

Features

1. EV Charging Station Services

2. Trip Planning

3. Resource Management

4. Interactive Prompts

Installation

1. Clone the Repository

2. Set Up Virtual Environment (Recommended)

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`address`

`max_distance`

`socket_type`

`user_address`

`user_destination_address`