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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.
    10
    6 npm
    Apache 2.0
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    Enables LAN-based monitoring and control of Bambu Lab P2S/P1S printers, including confirm-gated print, pause, resume, stop, file upload, and slicing workflows.
    10
    16 npm
    MIT
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    Enables MCP clients to monitor and control a Bambu Lab P1S printer over the local network, including status, file management, slicing, and print operations.
    11
    MIT
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    An MCP server that layers additional Home Assistant tools on top of voska/hass-mcp, enabling Lovelace dashboard management, automation/scene manipulation, SSH file access, and recorder database queries.
    28
    MIT
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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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    An MCP server for controlling Bambu Lab 3D printers that enables users to manipulate STL files, slice 3MF files, and manage end-to-end print workflows directly from Claude. It provides real-time status monitoring, file management via FTPS, and printer control through MQTT for a focused, lean Bambu-only implementation.
    53
    3,191 npm
    265
    GPL 2.0
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    An MCP server that lets AI assistants control grandMA2 lighting consoles via Telnet, exposing 41 high-level tools for cue management, fixture control, preset management, executor control, macro editing, appearance assignment, bulk operations, console state queries, show file management, read-back verification, and music show workflows.
    100
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    Apache 2.0
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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 AI assistants to control and monitor Prusa 3D printers via local HTTP API, supporting status, job info, file operations, print start/pause/resume/stop, snapshots, and upload-and-print.
    MIT
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    Enables safe, controlled remote operation of the Elegoo Centauri Carbon 3D printer with real-time monitoring, file management, and print control via the SDCP protocol.
    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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    Unofficial MCP server for Octopus Energy customers in the UK. Lets Claude and other AI assistants read your smart meter usage, costs, tariffs and bills, find the cheapest Agile half-hours and, if you allow it, manage Intelligent Octopus EV charging and join Saving Sessions. Read-only by default, with an optional audit log. Runs in Docker or as a one-click Claude Desktop bundle.
    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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    Enables AI agents to monitor and control Prusa 3D printers over PrusaLink or Prusa Connect, including status and camera checks, file upload and print control, G-code execution, queue and history access, and responding to printer dialogs.
    1
    MIT
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    Comprehensive development tools for Home Assistant, enabling file management, template testing, entity/state management, service calls, log access, and system information retrieval through MCP.
    MIT
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    Enables natural language control of Home Assistant smart home devices through Cursor AI, supporting entity queries, automation management, configuration file editing, and system operations.
    551 npm
    58
    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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    Enables LLM agents to inspect multi-modal IoT telemetry and query safety policies, then dispatch actuator commands through typed MCP tools that enforce deterministic safety interlocks and record a tamper-evident SHA-256 chained audit trail. This lets automated agents control building hardware without violating safety invariants, while rejecting cross-sensor false alarms and cutting redundant telemetry and token usage.
    MIT
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    An MCP server that enables natural language creation and management of Xiaomi Mi Home automation rules, integrating with AI coding assistants to query devices and manipulate automation graphs.
    117
    MIT
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    Enables MCP clients to query and manage a Qbee-managed device fleet, offering read tools for device status, files, CVEs, and changes, plus confirmation-gated write operations for configuration, file management, membership, and IAM.
    Apache 2.0
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    Enables Claude Code to see and drive Bambu Lab 3D printers over the local network via MQTT, providing status, file management, print control, filament, maintenance, and diagnosis without any cloud dependency.
    MIT
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    MCP server that provides live facility data access and operational tools, enabling the AI agent to query sensor readings, HVAC status, energy usage, alerts, and execute confirmed maintenance actions.
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    Connects LLM coding agents to Home Assistant instances, enabling configuration file management, service calls, template testing, and automation diagnostics via MCP tools.
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    Enables AI models to control and query smart home devices (air conditioners, lights, locks, cameras, refrigerators) through a backend API. Supports device control operations, status queries, and detailed device information retrieval with built-in documentation for proper device usage.
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    Provides read-only access to Shelly Cloud energy data, including live power, lifetime energy, and historical consumption with cost, enabling AI agents to monitor electricity usage without device control.
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