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  • A
    license
    Not graded
    quality
    C
    maintenance
    Household-aware kitchen brain for AI agents: manage pantry inventory with freshness tracking, shopping lists, recipe collections with cook notes and per-diner ratings, dietary profiles with allergen safety, and kitchen equipment — all through 27 tools with OAuth 2.1 authentication. Includes a free tool for ingredient-based recipe generation without an account (accounts are free!).
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables Alexa+ to diagnose home appliance problems by connecting to a self-hosted MCP server, with capabilities for reading error codes from manuals, tracking household appliances, guiding repairs with visual cards, ordering replacement parts, and scheduling maintenance.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables a persistent home world model with device graph, acoustic incident detection, and proactive maintenance proposals via MCP tools and server-sent events.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Exposes real-time soil sensor metrics as MCP Resources and irrigation valve controls as MCP Tools, enabling AI-driven agronomic decisions with built-in safety guardrails.
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables voice-first household maintenance tracking, turning spoken updates into durable records, service history, and due-date reminders for a concise maintenance brief.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables turning spoken household issues into evidence-linked maintenance cases, deterministic diagnostic plans, quote comparisons, and owner-approved but unexecuted action proposals.
    Apache 2.0
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables voice control of a Dreame robot vacuum via Matter using a Pebble Index ring, with tools for checking status, listing rooms and modes, starting/stopping cleaning, and docking.
    -
  • F
    license
    Not graded
    quality
    C
    maintenance
    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.
    -
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI agents to discover and call Xyte's device management API endpoints with typed validation, supporting fleet investigation, ticket management, and routine operations through natural language.
    3
    1 npm
    Apache 2.0
  • A
    license
    A
    quality
    B
    maintenance
    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
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    A collection of personal Model Context Protocol servers for tools like calendar, contacts, flights, home maintenance, iMessage, lawn care, mail, NextDNS, Obsidian search, Google Sheets, UniFi, weather, and YNAB, packaged as a uv workspace with Claude Code and Codex plugin support.
    2
    MIT
  • F
    license
    A
    quality
    B
    maintenance
    MCP server that translates natural language commands into SCARA robot arm control instructions, featuring simulation mode, safety validation, and multiple transport modes (STDIO/HTTP/OAuth).
    14
    -
  • A
    license
    A
    quality
    C
    maintenance
    Enables natural language control of WeMo smart home devices for power, brightness, and device management through AI assistants. It features a high-reliability multi-phase discovery process to scan, monitor, and configure devices across a local network.
    11
    39 PyPI
    1
    MIT
  • 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