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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 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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    Provides real-time South African load shedding data through the EskomSePush API. Enables users to check current load shedding stages, monitor API usage, and access area-specific schedules and searches with natural language queries.
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    MIT
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    An unofficial MCP (Model Context Protocol) server that exposes a Vaillant heat pump's data to AI assistants like Claude. Query outdoor and room temperatures, hot water status, energy consumption, COP estimates, schedules, and diagnostics through natural conversation.
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    MIT
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    Provides access to Korea Petroleum Corporation's Opinet fuel price API for South Korea. Enables querying of current national and regional fuel averages, recent price trends, lowest-price stations, and nearby gas station details through natural language.
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    MIT
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    Enables AI agents to operate a US power-grid data pipeline – ingest, plan, run, and monitor datasets like CAISO, ERCOT, and EIA-930 through MCP tools that mirror the CLI.
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    Apache 2.0
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    Wraps the US National Renewable Energy Laboratory developer API, enabling access to renewable energy data through an MCP interface.
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    MIT
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    Enables AI agents to understand, query, and manipulate Honeybee building energy models through natural language via the Model Context Protocol.
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    GPL 3.0
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    Enables natural language control of Loxone smart home systems, including lighting, audio, climate, and environmental monitoring, through MCP-compatible clients.
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    AGPL 3.0
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    An MCP (Model Context Protocol) server that exposes Polestar 2 vehicle data to AI assistants like Claude. Query your car's battery status, vehicle info, and health data through natural conversation.
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    MIT
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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