Tibber MCP Server

by linkcd

2 stars

136 downloads

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Model Context Protocol (MCP) Server for Tibber

Details

Author: linkcd
GitHub stars: 2
Downloads: 136
Categories: Other

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 Tibber MCP 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": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

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": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

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": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

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": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

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": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

From the repository

Install Python 3.12 and uv, clone the repository, set up a virtual environment, and install dependencies. Configure the host (e.g., Claude Desktop, Roo Code) with the uv command, the server script path, and your TIBBER_API_TOKEN environment variable. The server exposes two tools: get_consumption_data() and get_price_and_home_info().

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "tibber mcp server": {
            "tibber-mcp": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "-e",
                    "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
                    "python",
                    "server.py"
                ]
            }
        }
    }
}

McpServers

{
    "tibber-mcp": {
        "command": "npx",
        "args": [
            "@modelcontextprotocol/inspector",
            "-e",
            "TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN]",
            "python",
            "server.py"
        ]
    }
}

Tibber MCP Server

This is a Model Context Protocol (MCP) Server for Tibber, a Norwegian power supplier.

You can run the MCP server locally and access it via different hosts such as Claude Desktop or Roo Code.

For more details, check out my blog post:
Building a Tibber MCP Server: Connect Your AI Agent to Energy Consumption Data

Overview

The Tibber MCP server provides an AI agent with a convenient way to interact with the Tibber API and query information such as current energy prices and your energy consumption data.

Example Queries

Once connected to the MCP server, you can ask questions like: - "Analyze my power consumption data and present the usual peak hours and any other interesting patterns in an easy-to-read format." - "When did I use the most power yesterday?" - "How much power did I consume yesterday at 7 AM?" - "What is the current energy price?" - "List the 3 cheapest hours of tomorrow." - "Is the energy price higher or lower tomorrow?"

Demo video

Architecture

Requirements

- Python 3.12 - Tibber API token (You can get it from Tibber developer portal)

Installation

1. Install uv:

   # On macOS and Linux
   curl -LsSf https://astral.sh/uv/install.sh | sh

   # On Windows
   powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

2. Clone this repository:

   git clone https://github.com/linkcd/tibber-mcp.git

   cd tibber-mcp

3. Set up the Python virtual environment and install dependencies:

   uv venv --python 3.12 && source .venv/bin/activate && uv pip install --requirement pyproject.toml

Host Configuration

In Claude Desktop or Roo Code in VS

{
   "mcpServers":{
      "tibber":{
         "command":"uv",
         "args":[
            "--directory",
            "[PATH-TO-ROOT-OF-THE-CLONED-TIBBER-MCP-FOLDER]",
            "run",
            "server.py"
         ],
         "env":{
            "TIBBER_API_TOKEN":"[YOUR-TIBBER-TOKEN]"
         }
      }
   }
}

> IMPORTANT: Replace [YOUR-TIBBER-TOKEN] with your actual token. Never commit actual credentials to version control.

Debug and test the MCP server locally

Run the server locally and run MCP inspector against it

npx @modelcontextprotocol/inspector -e TIBBER_API_TOKEN=[YOUR-TIBBER-TOKEN] python server.py

Available Tools

The server exposes the following tools that LLM can use: 1. get_consumption_data(): Get the hourly consumption data for the last 30 days, such as time period, total cost, base energy cost, and consumpted kwh 2. get_price_and_home_info(): Get price info (current, today and tomorrow) and home info (owner, address, subscription...)

License

MIT License

Acknowledgments

- This tool uses Anthropic's MCP framework - Built with FastMCP for server implementation - The tibber ingeratoin is based on pyTibber library

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About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Tibber MCP Server

Overview

Example Queries

Demo video

Architecture

Requirements

Installation

Host Configuration

Debug and test the MCP server locally

Available Tools

License

Acknowledgments

Install

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