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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).
    73
    MIT
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    Read-only MCP server for consulting CPFL utility data via official source using link and OCR, with prepaid per-query pricing.
    MIT
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    Exposes EnergyPlus simulation control (run, parse metrics, edit schedules) as LLM tools for autonomous building energy optimization.
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    An MCP server that exposes the U.S. Energy Information Administration (EIA) Open Data API, enabling LLMs to browse and query energy data across 17 datasets with generic, composable tools.
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    AI assistants can size heat pumps, estimate energy costs, and verify cold-climate performance using bundled data and no API keys.
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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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    Provides professional-grade data center engineering calculations including cooling, power, GPU thermal optimization, UPS/battery sizing, tier classification, and commissioning workflows, compliant with ASHRAE and Uptime Institute standards.
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    12 npm
    1
    MIT
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    Enables parsing, analysis, and export of power measurement data from Monsoon Power Monitor PT5 files, including summary statistics, sample retrieval, trend analysis, and CSV export.
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    7 npm
    MIT
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    MCP server that enables LLMs to interact with Monta's EV charging platform for managing charge points, charging sessions, and wallet operations.
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    Enables querying Tibber electricity prices, forecasts, consumption data, cheapest hours, and live Pulse measurements through natural language.
    7
    MIT
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    Provides real-time electricity grid data including CO2 intensity, power mix, and wholesale prices, plus optimal green time windows for energy-intensive AI tasks. Supports UK, Germany, and global regions with optional API keys.
    9
    MIT
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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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    20 npm
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    MIT
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    Enables AI assistants to monitor and control Growatt solar installations via the ShineServer API, including reading PV generation, load, grid import/export, battery SOC, and adjusting inverter settings.
    26
    MIT
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    Connects AI agents to energy infrastructure with 30+ tools for managing sites, assets, dispatch, settlements, compliance, and carbon tracking.
    34
    26 npm
    1
    MIT