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    MCP server that enables AI-powered EV charging station management, including live session tracking, automatic battery state detection, remote cable unlock, and RAG-based technical support from OCPP documentation.
    1
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    B
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    Secure typed access to Home Assistant for AI clients like ChatGPT and Codex, with 99 tools for controlling and monitoring devices, automations, energy, and more.
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  • A
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    DeepPVMapper is an open source, crowdsourced verified AI map of rooftop solar systems. The MCP serves as a endpoint to allow queries to the database (1.1M+ systems) in natural language. This work is based on my former PhD work.
    8
    17
    37
    MIT
  • A
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    D
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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.
    18
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    MIT
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    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
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    B
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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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    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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    B
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    Provides real-time grid carbon intensity, power generation breakdown, and carbon-intensity forecasts for any zone or lat/lon location.
    275 npm
    MIT
  • A
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    B
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    An MCP server that exposes Home Assistant's REST and WebSocket APIs as 182 tools, enabling clients like Claude Code to control lights, climate, media, automations, and more. It also provides a status dashboard and supports running as a Home Assistant app or container.
    AGPL 3.0
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    Provides LLMs with access to news and information about renewable energy projects and planning in Germany via the Nefino API, enabling location-based queries with topic and date filtering.
    Apache 2.0
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    Enables access to real-time electricity data for a 15-state US region plus Manitoba: fuel mix, five-minute wholesale prices, binding transmission constraints, load and forecasts, and wind/solar output. Can run as a remote MCP endpoint or a local stdio server with no authentication.
    2 npm
    MIT
  • A
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    B
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    Gives AI assistants read-only, vendor-independent tools to analyze heat pump cycling, real heating curve, room behavior, energy signature, and efficiency from Home Assistant sensor data, returning structured findings with coverage and assumptions.
    Apache 2.0
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    Enables AI clients to incrementally edit native PSCAD 4.6.2 projects, execute simulations, query numerical outputs, and search local official Help through MCP tools.
    MIT
  • F
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    Enables calculation of the most economical fuel (gasoline, ethanol, or natural gas) based on prices and vehicle consumption, following the 70% rule for ethanol and 60% for GNV.
    1
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  • F
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    A FastMCP server that wraps the U.S. Energy Information Administration Open Data API v2, enabling natural-language queries for electricity, petroleum, and other energy statistics via tools like discover_eia_route and get_eia_data.
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  • A
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    Hourly electricity grid carbon intensity (gCO2eq/kWh) for 45 zones across Europe, the US and Great Britain, computed from ENTSO-E, EIA and NESO generation data. Four read-only tools; every value carries its interval timestamp and how stale it is. No API key, no account.
    4
    MIT
  • A
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    An unofficial read-only MCP server for Panasonic AiSEG2 home energy management controllers, enabling clients to read live power flow, per-circuit consumption, circuit names, daily totals, and historical energy/cost data from the device's local web interface.
    6
    35 PyPI
    MIT