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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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    An unofficial read-only MCP server for Panasonic AiSEG2 home energy management controllers, enabling clients to read live power flow, per-circuit consumption, circuit names, daily totals, and historical energy/cost data from the device's local web interface.
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    MIT
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    Read-only MCP server for Home Assistant that computes statistical summaries, trends, and session detection from recorded sensor history, returning compact tables instead of raw data so small local models can answer questions about energy usage, climate, and appliance activity without token-heavy arithmetic.
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    Apache 2.0
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    An MCP server that extracts energy-usage charts from utility-bill PDFs, returning structured time-series data and annotated images.
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    AGPL 3.0
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    Provides real-time access to solar inverter data from the SolaX Cloud API, enabling queries of power output, energy yields, battery status, and grid import/export data.
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    MIT
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    Enables real-time solar data from Fronius inverters via Claude, allowing natural language queries about solar production, battery, and grid exchange.
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    Apache 2.0
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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.
    12
    MIT
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    Connect AI assistants to Victron Energy systems to read real-time solar, battery, grid, and inverter data from your local network via Modbus TCP or MQTT.
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    MIT
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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 Dunn and GITT battery analysis, enabling calculation of kinetic parameters and diffusion coefficients from cyclic voltammetry and titration data.
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    Enables LLM agents to query live data from Anker Solix solar systems (Solarbank, expansion batteries, Smartmeter) via natural language, such as current solar production or battery state of charge.
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    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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    MIT
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    Enables AI assistants to query Tesla vehicle data and analytics from a TeslaMate PostgreSQL database, including battery health, driving statistics, charging sessions, and custom SQL queries.
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    MIT
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    Fits a lithium-ion full-cell dual-water-tank model from charge/discharge voltage-capacity data for battery aging mechanism identification, with parameter fitting, batch processing, and MCP server integration.
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    Apache 2.0
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    Enables LLM applications to query and visualize data from Bosch/Buderus heat pumps via ems-ESP, including temperatures, statistics, and heat curves through natural language.
    9
    MIT
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    Access Great Britain electricity grid open data from the NESO API, enabling queries about generation, demand, and market data.
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    MIT
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    Enables querying German distribution grid operator data from vnbdigital.de and BDEW register, including lookup by ID, postcode, coordinates, and free-text search.
    MIT