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    Provides real-time US power grid intelligence and carbon intensity data to enable carbon-aware AI compute scheduling across major grid regions. It allows users to monitor energy generation and optimize workloads based on renewable energy availability and grid load forecasts.
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    MIT
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    Provides access to Alpha ESS solar inverter and battery system data, enabling monitoring of energy statistics, real-time power data, and configuration of battery charging and discharge schedules through the Alpha ESS Open API.
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    MIT
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    Real-time supply chain risk intelligence with 25 tools: Global Disruption Index, Manufacturing Index, commodity prices, port congestion, border delays, chokepoints, air cargo, trade policy, energy, rail, freight, economic indicators, predictive signals, and AI intelligence briefs.
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    Estimates the environmental footprint of your AI use — energy (kWh), miles driven, water used for cooling, and CO₂ — plus a prompt-efficiency score, working with any AI client by measuring token usage.
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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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    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.
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    Apache 2.0
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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.
    Last updated
    MIT
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    A powerful MCP server that enables AI assistants like Claude to access, analyze, and optimize solar energy data from FoxESS inverters.
    Last updated
    2
    MIT