Skip to main content
Glama
Davad122

Energy Prediction MCP Server

by Davad122

Related Servers

Alternatives to Energy Prediction MCP Server

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      B
      maintenance
      Provides real-time electricity prices, cheapest hours, and contract comparison for 40+ countries, enabling AI agents to make energy-aware decisions.
      4
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to access and analyze Spanish electricity consumption data via the Datadis API, providing tools for supply management, consumption analysis, anomaly detection, and executive reporting.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      A Model Context Protocol server that provides real-time access to Spanish electricity demand, weather data, and generation mix, enabling AI agents to analyze and summarize energy information.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables conversational home power management by providing real-time solar, battery, and grid status, plus forecasts to answer questions like whether you can run an appliance. It supports Victron and Growatt inverters, remembers household appliances and grid events, and renders an interactive dashboard card in MCP-compatible clients.
      3 npm
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables natural language conversations with Spain's electrical grid data through Claude, providing real-time access to electricity demand, generation, prices, and emissions data from Red Eléctrica de España (REE).
      2
      18
      11
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables access to European electricity data including day-ahead prices, probabilistic forecasts, carbon intensity, and cheapest-window optimization for 43 bidding zones.
      MIT