Tibber
bypunkpeye
0Connects AI agents to Tibber's energy consumption and pricing data via the Model Context Protocol.
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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.
Características Principales
- 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
Casos de Uso
- 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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