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    Enables creating, analyzing, and optimizing energy system models using PyPSA through natural language, with tools for model management, component creation, simulation, and optimization.
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    MIT
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    Enables natural language interaction with OpenStudio building energy simulation, allowing creation, querying, and modification of models, running EnergyPlus simulations, and analyzing results.
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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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    MCP server for fetching Danish electricity spot prices (DK1/DK2) using the free elprisenligenu.dk API, providing tools to get current price, cheapest hours, and price summaries.
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    Connects AI agents to energy infrastructure with 30+ tools for managing sites, assets, dispatch, settlements, compliance, and carbon tracking.
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    Enables querying optimal control values (angle for blowers, control for pumps) to minimize power given a required flow rate, using machine learning models trained on pump/fan operation data.
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    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.
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    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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    An MCP server that connects AI assistants to the ZONT heating system via the official REST API. It enables users to monitor device states, control heating modes, and perform diagnostics using natural language.
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    MIT
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    Enables querying PVGIS solar radiation and typical meteorological year data through natural language questions, using tools for monthly irradiation averages and hourly synthetic climate data.
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    MIT
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    Climatiq MCP server that calculates carbon footprints using emission factors, enabling users to list unit types and compute environmental impact.
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    MIT
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    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.
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    MIT
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    MCP server for querying and simulating the dispatch plan of a solar PV + battery system in the Chilean electricity market, using deterministic optimization and optional DRL.
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    Enables carbon emission calculations for Australian electricity and gas consumption using official National Greenhouse Accounts 2024 data, supporting all states and territories.
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    Generates peer comparison reports on emissions trends, reduction targets, and gaps for companies in a given SICS sector/sub-sector using live data from the Climate Data Utility (CDU).
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