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    Enables AI assistants to control a Homey Pro smart home hub, create automation flows from natural language, and query device and energy history.
    36
    25 npm
    MIT
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    An MCP server that extracts energy-usage charts from utility-bill PDFs, returning structured time-series data and annotated images.
    1
    AGPL 3.0
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    Live and historical electricity prices, demand, generation mix and carbon intensity for 25 grid zones (US, Europe, GB, Australia). Hosted endpoint plus local stdio bridge; free sample mode, free API key, or x402 pay-per-call.
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    MIT
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    Enables discovery and control of Philips Hue lighting devices via a local bridge using the CLIP v2 API, without any cloud dependency.
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    MIT
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    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.
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    8 npm
    MIT
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    Lets an MCP client read live power from a local IoTaWatt energy monitor over its HTTP API, query history logs for energy and interval data, inspect device configuration and channel definitions, and sample current waveforms to identify load types. All tools are read-only and require no cloud account.
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    ISC
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    Enables AI assistants to query Tesla vehicle data and analytics from a TeslaMate PostgreSQL database, including battery health, driving statistics, charging sessions, and custom SQL queries.
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    MIT
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    Enables generating yearly active and reactive power load time series for pandapower grids from German BDEW standard load profiles, with assignment of load categories, stochastic noise, scenarios, run manifests, plotting and time-series power flow. Also exposes run inspection, regeneration and verification so tool-calling LLM clients can produce and cite reproducible, checksummed results.
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    Enables classifying electricity meter days as active, standby, off, or unsure from 96 fifteen-minute kWh readings plus a meter reference, with batch support for up to 31 days and model metadata. Runs fully offline as a frozen scikit-learn classifier, exposing single-day and batch classification plus model-info tools over STDIO or HTTP.
    Apache 2.0
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    Enables querying NASA POWER historical solar, wind, building, and agroclimatology data via MCP, including point time series, climatologies, native-grid regions, and comparisons across multiple labeled locations, with staged SQL analysis for larger datasets. Runs over STDIO or Streamable HTTP and requires no NASA account or API key.
    895 npm
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    Apache 2.0
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    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
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    Enables querying of real-time and forecast UK carbon intensity data from National Grid ESO, allowing AI agents to retrieve carbon emissions by region and time.
    4 npm
    MIT
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    Enables access to US Energy Information Administration statistics including production, consumption, prices, exports, and more, with series search and natural-language queries.
    440 npm
    MIT
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    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
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    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