Tibber MCP
This is an MCP server project built for the Norwegian power supplier Tibber, allowing AI agents to access the Tibber API through the Model Context Protocol to query energy prices and electricity consumption data. The project provides a local running solution and supports connection through clients such as Claude Desktop.
rating : 2 points
downloads : 6.2K
What is the Tibber MCP Server?
This is an intelligent server based on the Model Context Protocol (MCP), specifically designed for Tibber energy users. It allows your AI assistant (such as Claude or Roo Code) to directly access and analyze your household electricity consumption data, including real - time electricity prices, historical consumption, and other information.How to use the Tibber MCP Server?
Simply configure your AI assistant to connect to this server, and you can query electricity consumption data in natural language. The server will automatically convert your request into an API call and return structured results.Applicable scenarios
Suitable for household users who want to use AI to analyze electricity consumption patterns, smart home systems that need to optimize electricity costs, and environmentalists who want to understand energy usage.Main features
Electricity consumption query
Get hourly electricity consumption data for the past 30 days, including consumption (kWh) and cost
Electricity price information
Query current, today's, and tomorrow's electricity price information to find the cheapest electricity consumption periods
Home information
Get home address, owner information, and electricity subscription details
Advantages
No need to manually query the API; data can be obtained in natural language
Seamless integration with mainstream AI assistants
Provide intuitive data analysis and visualization suggestions
Limitations
Requires a Tibber account and API token
Currently only supports the Python 3.12 environment
Data update frequency depends on the Tibber API
How to use
Get a Tibber API token
Log in to the Tibber developer portal (developer.tibber.com) to get your API access token
Install dependencies
Use the uv tool to install the Python environment and required dependencies
Configure the AI client
Add MCP server configuration in Claude Desktop or Roo Code
Usage examples
Analyze electricity consumption patterns
Let AI analyze your electricity consumption habits to find peak hours and energy - saving opportunities
Electricity price comparison
Compare electricity prices at different times to find the most cost - effective electricity consumption time
Frequently asked questions
Do I need to pay to use this service?
What is the data update frequency?
Which AI assistants are supported?
Related resources
MCP protocol official website
Official documentation of the Model Context Protocol
Tibber developer portal
Official documentation of the Tibber API
Demo video
Function demonstration of the Tibber MCP Server
Blog post
Technical details behind server development

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