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  • F
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    quality
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    maintenance
    Exposes EnergyPlus simulation control (run, parse metrics, edit schedules) as LLM tools for autonomous building energy optimization.
  • F
    license
    A
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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.
    7
  • A
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    quality
    C
    maintenance
    This MCP server provides a single read-only tool to query official CPFL (electric utility) bill download data via a hosted, prepaid service without requiring platform credentials.
    MIT
  • A
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    C
    maintenance
    An MCP server that exposes Home Assistant's REST and WebSocket APIs as 182 tools, enabling clients like Claude Code to control lights, climate, media, automations, and more. It also provides a status dashboard and supports running as a Home Assistant app or container.
    AGPL 3.0
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    maintenance
    MCP server for querying ENTSO-E Transparency Platform data including actual load, generation per type, cross-border flows, and installed capacity.
    3
    MIT
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    maintenance
    Enables AI agents to interact with the OSDU® data platform through Model Context Protocol, providing tools for search, storage, schema management, and dataset operations.
    1
    Apache 2.0
  • A
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    Not graded
    quality
    B
    maintenance
    Exposes Frank Energie energy data (electricity and gas prices, account info) as MCP tools for LLMs, using python-frank-energie for API communication.
    1
    MIT
  • A
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    maintenance
    Enables querying European electricity generation, prices, and capacity data from Fraunhofer ISE's Energy-Charts platform.
    13
    MIT
  • A
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    maintenance
    MCP server for the OCPI SDK that enables AI-assisted communication with EV charging infrastructure via the Open Charge Point Interface protocol.
    36
    3
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    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.
    16
    118
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables AI assistants to control a Homey Pro smart home hub, create automation flows from natural language, and query device and energy history.
    36
    288
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    The PGIQ Rating as agent tools: where to site or schedule a large electricity load across 67 global power markets. Wraps a read-only REST API returning reasoned, cited ratings across access, availability, cost, momentum, and carbon, plus live grid snapshots and cheapest-window scheduling.
    6
    44
    MIT
  • A
    license
    A
    quality
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    maintenance
    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.
    9
    84
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    MCP server for Danish electricity prices, providing current spot price, cheapest hours, and 7-day forecast for DK1 and DK2 areas.
    5
    11
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Solar estimates, provider comparison, energy prices and blog for Italy. 6 MCP tools for the Italian solar market.
    6
    50
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    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.
    18
    1
    MIT
  • A
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    B
    quality
    C
    maintenance
    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.
    3
    4
    Apache 2.0
  • F
    license
    B
    quality
    B
    maintenance
    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.
    2
    1