Connects AI agents to Tibber energy consumption data and pricing information via the Model Context Protocol.
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The Tibber MCP server empowers AI agents to seamlessly interact with the Tibber API, enabling them to query detailed information such as current energy prices and personal energy consumption data. This allows AI agents to perform analyses like identifying peak consumption hours, determining past energy usage at specific times, finding the cheapest hours for energy, and comparing future energy prices, providing valuable insights into energy management. It integrates with AI agent platforms like Claude Desktop and Roo Code.
Key Features
01Enables AI agent interaction for energy data analysis.
02Exposes data via a Model Context Protocol (MCP) server.
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04Provides current, daily, and future energy pricing information.
05Retrieves hourly energy consumption data for the last 30 days.
06Accesses user home and subscription details from Tibber.
Use Cases
01Identify the cheapest hours for energy consumption to optimize usage.
02Query specific past energy usage (e.g., consumption at a particular time and date).
03Analyze power consumption patterns, including peak hours and interesting trends.
