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    MCP server for Swiss electricity data from three official sources — production mix, consumption forecast, storage-lake fill, consumer price index, tariffs per municipality, and dataset discovery. Zero authentication.
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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
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    Enables access to Fronius solar inverter data via the MCP protocol, allowing real-time monitoring of energy production, consumption, and battery storage through natural language.
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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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    MIT
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    MCP server for the German energy market master data register (MaStR), enabling querying of energy units, actors, grid connections, and more via 21 SOAP and public tools.
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    MIT
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    Enables Claude to size batteries, wire gauges, and fuses for 12V-48V electrical systems in boats, vans, and off-grid builds, and generates complete wiring diagrams as SVG or PNG.
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    MCP server for Durable energy trading analytics that connects Claude Desktop to Snowflake data, enabling natural-language queries about spreads, constraints, generators, and prices.
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    AI agent for Italian energy tariff comparison. Analyzes electricity and gas bills, compares 44+ offers from 13 providers, estimates savings with full ARERA regulated cost breakdown
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    MIT
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    MCP server for Danish electricity prices, providing current spot price, cheapest hours, and 7-day forecast for DK1 and DK2 areas.
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    Solar estimates, provider comparison, energy prices and blog for Italy. 6 MCP tools for the Italian solar market.
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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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    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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    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