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Tibber

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

About

The Tibber MCP server acts as a bridge, enabling AI agents to seamlessly interact with the Tibber API. It allows agents to query various energy-related information, such as current energy prices, historical consumption data, and predicted future prices, providing a convenient way to integrate energy insights into AI-driven applications and analyses.

Key Features

  • Provides home and subscription details (owner, address, etc.)
  • 0 GitHub stars
  • Retrieves current, today's, and tomorrow's energy price information
  • Accesses hourly energy consumption data for the last 30 days
  • Integrates with AI hosts like Claude Desktop and Roo Code
  • Built with FastMCP for server implementation

Use Cases

  • Determine when the most power was consumed on a specific day
  • Analyze power consumption patterns and identify peak hours
  • Query current and future energy prices to optimize usage
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