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  • F
    license
    Not graded
    quality
    C
    maintenance
    MCP server that enables AI-powered EV charging station management, including live session tracking, automatic battery state detection, remote cable unlock, and RAG-based technical support from OCPP documentation.
    1
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  • F
    license
    Not graded
    quality
    B
    maintenance
    Secure typed access to Home Assistant for AI clients like ChatGPT and Codex, with 99 tools for controlling and monitoring devices, automations, energy, and more.
    -
  • A
    license
    A
    quality
    D
    maintenance
    Provides real-time South African load shedding data through the EskomSePush API. Enables users to check current load shedding stages, monitor API usage, and access area-specific schedules and searches with natural language queries.
    5
    5
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    MCP server for converting OEM energy telemetry payloads into ODS-E records and validating them via the odse Python package.
    3
    3 npm
    MIT
  • A
    license
    Not graded
    quality
    B
    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
  • F
    license
    Not graded
    quality
    C
    maintenance
    MCP server that enables Google ADK agents to triage solar fault signals, retrieve Salesforce diagnostics via hosted MCP prompt templates, and create WorkOrder records when replacements are needed.
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  • F
    license
    Not graded
    quality
    C
    maintenance
    Connects to real-time French power grid data (carbon intensity, consumption, generation mix) to make Kiro carbon-aware, enabling it to defer heavy jobs when the grid is dirty.
    -
  • A
    license
    A
    quality
    C
    maintenance
    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.
    10
    4 npm
    Apache 2.0
  • A
    license
    A
    quality
    C
    maintenance
    An MCP server for US electricity demand and weather data that provides tools, resources, and prompts to query hourly demand, daily demand, peak demand, and demand vs temperature across regions, all running locally with a bundled SQLite database.
    6
    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
    15 npm
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    An MCP server that extracts energy-usage charts from utility-bill PDFs, returning structured time-series data and annotated images.
    1
    AGPL 3.0
  • A
    license
    A
    quality
    D
    maintenance
    Enables discovery and control of Philips Hue lighting devices via a local bridge using the CLIP v2 API, without any cloud dependency.
    10
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    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.
    4
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  • A
    license
    A
    quality
    A
    maintenance
    Connects a MyToyota or MyLexus Europe account to Claude and other MCP clients, enabling natural-language access to fuel, range, location, trips, health, climate, charging data, and remote commands such as lock, climate, and charging.
    26
    107 PyPI
    1
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    An MCP server that provides access to Northwood Capital Partners' portfolio carbon data, enabling MCP-compatible agents to query emissions, analyze decarbonization gaps, and simulate reduction initiatives through natural language.
    5
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