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    Read-only MCP server for Energinet's public Energi Data Service. Enables dataset search, arbitrary dataset queries with filters, and CO2 emissions retrieval for DK1/DK2 without an API key.
  • F
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    Exposes EnergyPlus simulation control (run, parse metrics, edit schedules) as LLM tools for autonomous building energy optimization.
  • A
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    A
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    An MCP server for US electricity demand and weather data that provides tools, resources, and prompts to query hourly demand, daily demand, peak demand, and demand vs temperature across regions, all running locally with a bundled SQLite database.
    6
    MIT
  • A
    license
    A
    quality
    C
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    MCP server for fetching Danish electricity spot prices (DK1/DK2) using the free elprisenligenu.dk API, providing tools to get current price, cheapest hours, and price summaries.
    4
    MIT
  • F
    license
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    quality
    B
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    Enables AI agents to query live solar telemetry from public SolarNetwork sites, detect dated equipment faults with peer-relative analysis, and generate printable PDF service reports for field technicians.
    10
  • A
    license
    A
    quality
    D
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    MCP server for Danish electricity prices, providing current spot price, cheapest hours, and 7-day forecast for DK1 and DK2 areas.
    5
    12
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    MCP server for the JouleScope JS220 precision energy analyzer, enabling agents to measure current, voltage, power, charge, and energy via tools like measure_energy.
    10
    2
    Apache 2.0
  • A
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    A
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    Provides access to Korea Petroleum Corporation's Opinet fuel price API for South Korea. Enables querying of current national and regional fuel averages, recent price trends, lowest-price stations, and nearby gas station details through natural language.
    MIT
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    A
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    Enables querying Tibber electricity prices, forecasts, consumption data, cheapest hours, and live Pulse measurements through natural language.
    7
    MIT
  • A
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    B
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    Enables access to European electricity data including day-ahead prices, probabilistic forecasts, carbon intensity, and cheapest-window optimization for 43 bidding zones.
    MIT
  • A
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    Enables users to query current and historical UK electricity carbon intensity, generation mix, and regional intensity data to schedule energy-intensive tasks during low-carbon periods.
    5
    MIT
  • A
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    quality
    A
    maintenance
    Browse and query the U.S. Energy Information Administration API v2 — electricity, petroleum, natural gas, coal, forecasts, and more via MCP. STDIO or Streamable HTTP.
    256
    2
    Apache 2.0
  • A
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    C
    maintenance
    This MCP server provides a single read-only tool to query official CPFL (electric utility) bill download data via a hosted, prepaid service without requiring platform credentials.
    MIT
  • A
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    quality
    D
    maintenance
    Weather files (EPW/DDY) for building energy simulation, on-demand. Four tools: search the 17,000-station catalog, analyze any EPW (design conditions, HDD/CDD, DesignDay IDF emit), render 5 chart types (diurnal, wind rose, temp carpet, monthly box plot, comparison), and generate TMY/AMY/CMIP6-morphed scenarios with UHI, extreme events, and wildfire smoke overlays. 3 of 4 tools work without API key.
    MIT
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    MCP server for BIM-to-building-energy simulation workflows with IFC extraction, TEASER integration, scenario modeling, weather binding, and results export for downstream WAT/ROI analysis.
    MIT
  • F
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    B
    maintenance
    A read-only MCP server that exposes European day-ahead electricity prices for ~41 bidding zones via tools like hourly prices, cheapest hours, current price, and cross-zone summary, enabling AI agents to query energy market data.
    1
  • F
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    D
    maintenance
    Provides access to the UK Carbon Intensity API, enabling users to retrieve current, historical, and forecast carbon intensity data, regional data by postcode, and generation mix information.
  • F
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    Enables AI assistants to list demo inverter sites, inspect production, pull weather context, and get deterministic panel-cleaning recommendations over MCP using synthetic solar operations data.