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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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    PyPSA MCP is a Model Context Protocol (MCP) server for creating, analyzing, and optimizing energy system models using PyPSA (Python for Power System Analysis).
    70
    MIT
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    Open-source MCP servers exposing US solar data (production, resource, economics, market, forecast) as agent-accessible tools with a consistent data envelope.
    MIT
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    A Model Context Protocol server that connects Claude to your own Kia vehicle through the Kia Owners API, enabling vehicle status, location, odometer, EV charge state, and confirm-gated commands for doors, climate, and charging.
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    248
    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.
    4
    MIT
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    Provides agent-native, strongly typed access to Alberta's electricity market data via official AESO APIs, including current market snapshots, historical prices, load, generation, interchange, reserves, and deterministic analytics.
    13
    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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    84
    MIT
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    MCP server for converting OEM energy telemetry payloads into ODS-E records and validating them via the odse Python package.
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    228
    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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    11
    MIT
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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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    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.
    MIT