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    A Model Context Protocol (MCP) server that provides comprehensive access to Tigo Energy solar system data and analytics. It enables AI assistants to interact with your Tigo solar monitoring system to retrieve production data, performance metrics, system health information, and maintenance insights.
    MIT
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    Exposes EnergyPlus simulation control (run, parse metrics, edit schedules) as LLM tools for autonomous building energy optimization.
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    Generates deterministic solar and energy storage system preliminary proposal calculations from structured customer inputs.
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    MIT
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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.
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    MIT
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    Enables MCP clients to pull US ZIP-code-level electricity data — Scope 2 location- and market-based emission factors, Scope 1 fuel factors, hourly grid carbon intensity, plant-level emissions, retail rates, and utility tariffs — for carbon accounting, multi-site comparison, and finding the cleanest hours to run flexible loads. It requires no API key or signup and works as either a hosted remote endpoint or a local stdio process.
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    MIT
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    Enables users to search generator guidance, check connector and receptacle compatibility, and calculate cord sizing based on distance and voltage drop.
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    MIT
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    Enables local control of an installed PVsystCLI 8 on Windows, letting a client check license quota, list workspace projects and variants, build SFI definitions, run existing project/variant simulations, convert staged weather data into MET files, and summarize numeric result columns. It exposes only seven typed tools with filename-based access to fixed workspace folders, and never overwrites existing output files.
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    MIT
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    Enables AI agents to interact with a user's Fill-Rite fuel management system, with token refresh handling for continuous access.
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    MIT
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    An MCP server that enables natural language interaction with the MeteoControl VCOM API v2 for monitoring solar array installations. It allows users to retrieve real-time and historical energy data, system alerts, and detailed asset configuration metrics.
    4
    Apache 2.0
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    Enables Claude to validate photovoltaic system specifications and deterministically generate single-line diagrams with IEC 60617 symbols, exporting to DXF/PNG headlessly or to live AutoCAD 2027 for DWG and PDF output.
    MIT
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    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
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    Reads thermostat status and controls HVAC modes, holds, schedules, comfort sensors, settings, vacations, fan runtime, and on-screen messages for a single thermostat account, hosted remotely on Cloudflare Workers with bearer-protected, stateless access.
    109 npm
    MIT
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    Enables users to pull live heating-oil tank readings from their Smart Oil Gauge account without Home Assistant, reporting gallons remaining, percent full, usage rates, and days-until-low estimates plus usage history across daily, weekly, monthly, and yearly windows. It logs in with existing app credentials and fetches fresh data on each tool call, storing nothing on disk.
    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).
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    MIT
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    Enables real-time ISO New England electricity market data via MCP, including five-minute locational marginal prices, system load, and generation fuel mix for the six New England states.
    490 npm
    MIT
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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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    MCP server for EG4 solar inverters, enabling real-time monitoring, performance analysis, battery health, alerts, maintenance insights, and historical data via natural language.
    MIT
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    Unofficial MCP server for Hive (British Gas) smart heating. Lets Claude and other AI assistants check your thermostats, radiator valves, hot water, plugs and lights and, if you allow it, boost the heating, set temperatures, switch on the hot water and set holiday mode. Read-only by default, with an optional audit log of every change. Runs in Docker or as a one-click Claude Desktop bundle.
    MIT
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    87+ specialized tools for German and European energy data. Direct AI access to Marktstammdatenregister (MaStR), ENTSO-E, Redispatch 2.0, and Grid Operations for utilities and datacenters.
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    GPL 3.0
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    Enables AI agents to interact with the OSDU® data platform through Model Context Protocol, providing tools for search, storage, schema management, and dataset operations.
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    Apache 2.0
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    MCP server for Solplanet ASW5-T inverter, enabling natural language queries about solar energy system status and control.
    MIT
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    An MCP server that provides verified official Turkish electricity system data (from TEİAŞ and EÜAŞ) via tools for querying generation, installed capacity, demand, and import/export, enabling natural language access to energy statistics.
    MIT
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    Nine tools for indoor climate and household energy in Germany/EU: BTU sizing for a room, portable-AC window-seal length, live heatwave outlook, appliance running costs, heating watts, dew point for safe ventilation, and balcony-storage subsidy rules. Also searches and reads 133 guides on getecoback.com; no auth, no personal data, and every answer returns its source URL.
    CC BY-4.0
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    MCP server that estimates photovoltaic production using the European Commission's PVGIS API, deployed on Cloudflare Workers for serverless, free-tier operation.
    174 npm
    MIT
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    Provides AI agents with structured access to the U.S. EIA Open Data API for energy data including power plants, operations, fuel prices, projections, and state CO2 emissions.
    MIT
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    Enables querying Georgia's national electricity system live grid telemetry and regulator statistics, including generation, consumption, cross-border flows, frequency, demand forecasts, tenders, and station-level monthly generation and price data.
    468 npm
    MIT
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    WattScope helps teams see the carbon cost of the AI they are already using. Ask Claude to record a piece of work and it attributes the estimated footprint to your organization and to a project, then reports it back — per session, per project, or organization-wide. Every figure is an estimate, and carries the strength of the evidence behind it.
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