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  • F
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    quality
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    maintenance
    Provides read-only access to Shelly Cloud energy data, including live power, lifetime energy, and historical consumption with cost, enabling AI agents to monitor electricity usage without device control.
    1
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  • F
    license
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    quality
    B
    maintenance
    Enables exact residential electricity rates and itemized bills for Salt River Project, computed from filed tariffs with citations, via tools for listing plans, getting rates, and calculating bills.
    -
  • F
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    quality
    C
    maintenance
    Provides real-time electricity prices, cheapest hours, and contract comparison for 40+ countries, enabling AI agents to make energy-aware decisions.
    5
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  • A
    license
    A
    quality
    C
    maintenance
    Enables searching and retrieving native EMS registers, SunSpec models and points, and closed-loop control recipes for Wattsonic MATIC hybrid inverters, validating planned Modbus writes against the documentation, and generating client code. It provides documentation only and never connects to an inverter.
    9
    Apache 2.0
  • A
    license
    A
    quality
    B
    maintenance
    Enables controlling ecobee thermostats from ChatGPT by connecting a user's ecobee account through normal browser sign-in, without an ecobee developer API key. Supports listing thermostats, reading status, setting temperature or HVAC mode, and resuming schedules.
    5
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables searching and analyzing US defense contract obligations, expiring recompetes, power-grid interconnection queues, and supply-chain compliance screens, plus exporting custom relational datasets.
    MIT
  • A
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    Not graded
    quality
    A
    maintenance
    Enables AI assistants to search and analyze Turkish electricity and energy market regulation by scanning the Resmî Gazete and EPDK, EPİAŞ, ETKB and TEİAŞ announcements, extracting amended articles and effective dates, and ranking changes by market importance with reasoning. It also provides source health status and rule-based effective-date extraction from any text, without requiring an API key.
    MIT
  • A
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    Not graded
    quality
    C
    maintenance
    Enables turning an address or lat/lng into a transparent solar proposal by geocoding it, pulling Google Solar API building insights (panel layouts, roof segments, imagery quality), and pricing a few system sizes with your tariff, install cost, incentives, savings, payback, NPV and a verdict. Every input is labelled with its source, Google's own financial analyses are shown side by side, and no prices are invented.
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    An MCP server that enables AI assistants to look up solar permitting authorities, estimate solar production via PVWatts, and retrieve irradiance data. It streamlines the creation of solar-aware workflows by integrating industry-standard APIs like NREL.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables portable-battery outage planning by exposing tools that retrieve an example scenario, compute usable AC energy and runtime, select protected and optional loads, and compare plans under energy, continuous-power, and startup-surge limits. It returns structured calculations and spoken summaries for rehearsing what can stay powered before an outage.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables steady-state heat transfer calculations for a single horizontal sodium heat pipe within a specified saturation-temperature and power corridor, returning mass flow, wall temperatures, temperature drop, capillary margin, vapor Reynolds and Mach numbers, and flow regime. Inputs outside the supported corridor are rejected.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    PyPSA MCP is a Model Context Protocol (MCP) server for creating, analyzing, and optimizing energy system models using PyPSA (Python for Power System Analysis).
    74
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables Alexa+ to answer spoken questions about a home's energy use and act on them through seven voice-first tools, covering live device status, usage and cost reports, waste detection, savings recommendations, automation listing, device control, and confirmed energy-plan application.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Wraps the US National Renewable Energy Laboratory developer API, enabling access to renewable energy data through an MCP interface.
    2 npm
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to search U.S. hydraulic fracturing disclosure records — well-level frac job details (operator, API number, location, dates, base fluid volumes) and the disclosed chemical additives per job — by state, county, operator, or API number, plus lookups of where a given chemical has been used by CAS number. Responses include source, license, and coverage-window metadata so callers can distinguish missing data from out-of-window disclosures.
    21 npm
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    This server enables the retrieval of detailed energy statistics and usage data from home systems without requiring access to a mobile application. It provides real-time access to solar panel performance, home battery status, and dynamic electricity and gas pricing.
    GPL 3.0
  • A
    license
    Not graded
    quality
    B
    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.
    5 npm
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Exposes EnergyPlus simulation control (run, parse metrics, edit schedules) as LLM tools for autonomous building energy optimization.
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