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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.
    6
    35 PyPI
    MIT
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    Enables AI assistants to control a Homey Pro smart home hub, create automation flows from natural language, and query device and energy history.
    36
    16 npm
    MIT
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    MCP server for the entire Shelly smart-home ecosystem, enabling local-first control, automation, and energy monitoring of Shelly devices with cloud fallback.
    47
    47 PyPI
    MIT
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    Enables control of ECHONETLite home automation devices like air conditioners and sensors via MCP, supporting HVAC management and real-time monitoring.
    14
    1
    MIT
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    Provides a unified MCP interface for smart home automation, enabling device discovery, state management, energy optimization, and policy-aware plan validation across multiple home automation protocols.
    20
    Mozilla Public 2.0
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    Enables users to verify whether smart-home commands caused the expected physical and electrical outcomes, diagnose appliance faults, enforce safety cutoffs, and analyze energy usage, tariffs, and bill forecasts through MCP tools.
    9
    MIT
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    UK solar PV and heat pump calculators following the MCS standards, plus home energy guides, as a CLI and local MCP server.
    MIT
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    Enables users to pull live heating-oil tank readings from their Smart Oil Gauge account without Home Assistant, reporting gallons remaining, percent full, usage rates, and days-until-low estimates plus usage history across daily, weekly, monthly, and yearly windows. It logs in with existing app credentials and fetches fresh data on each tool call, storing nothing on disk.
    MIT
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    Enables Alexa+ to answer spoken questions about a home's energy use and act on them through seven voice-first tools, covering live device status, usage and cost reports, waste detection, savings recommendations, automation listing, device control, and confirmed energy-plan application.
    MIT
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    Connects MCP clients such as Claude to a NIBE myUplink heat-pump account, letting users list systems and devices, read sensor values and common parameters, check alarms, view smart-home zones, and write settings where scopes allow. Handles the OAuth2 authorization-code and client-credentials flows, refreshing tokens automatically while keeping credentials in a local .env file.
    MIT
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    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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    Enables natural language control of Loxone smart home systems, including lighting, audio, climate, and environmental monitoring, through MCP-compatible clients.
    31 npm
    2
    AGPL 3.0
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    Provides free energy intelligence APIs for AI agents: solar production estimates, US clean-energy incentives by ZIP, home Energy Node Scores, contractor search, and consented installer routing.
    MIT
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    This server enables the retrieval of detailed energy statistics and usage data from home systems without requiring access to a mobile application. It provides real-time access to solar panel performance, home battery status, and dynamic electricity and gas pricing.
    GPL 3.0
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    Gives AI assistants read-only, vendor-independent tools to analyze heat pump cycling, real heating curve, room behavior, energy signature, and efficiency from Home Assistant sensor data, returning structured findings with coverage and assumptions.
    Apache 2.0
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    Enables conversational home power management by providing real-time solar, battery, and grid status, plus forecasts to answer questions like whether you can run an appliance. It supports Victron and Growatt inverters, remembers household appliances and grid events, and renders an interactive dashboard card in MCP-compatible clients.
    5 npm
    MIT
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    Enables AI assistants to fetch live environmental telemetry, verify local Fire TV and smart-meter hardware over TCP sockets, calibrate display and audio settings, orchestrate smart-home scenes, calculate energy savings, and answer natural-language questions about its capabilities.
    MIT