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  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides tools to search, inspect, and query energy open data from ODRE (electricity & gas production, consumption, grid load, renewables) using natural language or direct tool calls.
    2 npm
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables live querying of oil & gas and geothermal well data from state regulator ArcGIS services, including searchable well records, operators, nearby wells, and raw queries, plus DOE GDR and Global Energy Monitor lookups.
    8
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    A Model Context Protocol server providing free financial market data across 13 categories with 83 no-key tools, enabling access to stocks, indices, options, forex, crypto, energy, prediction markets, and more.
    83
    3
    MIT
  • A
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    quality
    C
    maintenance
    An MCP server that wraps the U.S. Energy Information Administration's Open Data API, enabling assistants to fetch live energy data via natural language. It provides tools for querying series, browsing data routes, filtering facets, and running custom queries.
    MIT
  • F
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    quality
    C
    maintenance
    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.
    -
  • A
    license
    A
    quality
    A
    maintenance
    DC Hub is the live Model Context Protocol layer for data-center and energy infrastructure. AI agents call 91 tools across 22,900+ facilities for land+power, grid, interconnection, fiber, and Capacity Source — with as_of timestamps. Connect: https://dchub.cloud/connect · Docs: https://dchub.cloud/ai-agents · Endpoint: https://dchub.cloud/mcp · Pro $99/mo (never $299/Founding).
    91
    3
    MIT
  • A
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    quality
    A
    maintenance
    Open-source MCP servers exposing US solar data (production, resource, economics, market, forecast) as agent-accessible tools with a consistent data envelope.
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    Exposes EnergyPlus simulation control (run, parse metrics, edit schedules) as LLM tools for autonomous building energy optimization.
    -
  • A
    license
    A
    quality
    C
    maintenance
    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
    B
    maintenance
    One-call Australian energy-market plumbing via AEMO — cited, structured responses for market data and analysis, not a data broker.
    5
    140 PyPI
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables parsing, analysis, and export of power measurement data from Monsoon Power Monitor PT5 files, including summary statistics, sample retrieval, trend analysis, and CSV export.
    6
    7 npm
    MIT
  • F
    license
    A
    quality
    B
    maintenance
    MCP server for Dunn and GITT battery analysis, enabling calculation of kinetic parameters and diffusion coefficients from cyclic voltammetry and titration data.
    4
    -
  • A
    license
    A
    quality
    A
    maintenance
    Enables natural-language interaction with Ladybug Tools for building performance simulation, 3D modeling, and data visualization, allowing agents to perform complex environmental analysis tasks without CAD software.
    3
    10
    GPL 3.0
  • F
    license
    B
    quality
    D
    maintenance
    Provides comprehensive access to EnergyPlus building energy simulation results, enabling discovery, analysis, and extraction of data from epJSON, SQL, and HTML files through MCP tools with pandas integration.
    19
    1
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  • A
    license
    Not graded
    quality
    C
    maintenance
    A local MCP server that enables building energy analysis through tools for anomaly detection, flexible-load schedule optimization, and battery/solar outage-autonomy simulation using reproducible synthetic data.
    MIT