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Connects AI agents to Tibber energy consumption data and pricing information via the Model Context Protocol.

소개

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.

주요 기능

  • Enables AI agent interaction for energy data analysis.
  • Exposes data via a Model Context Protocol (MCP) server.
  • 1 GitHub stars
  • Provides current, daily, and future energy pricing information.
  • Retrieves hourly energy consumption data for the last 30 days.
  • Accesses user home and subscription details from Tibber.

사용 사례

  • Identify the cheapest hours for energy consumption to optimize usage.
  • Query specific past energy usage (e.g., consumption at a particular time and date).
  • Analyze power consumption patterns, including peak hours and interesting trends.
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