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  • eskomsepush-mcp

    zukhanyendiki9-code
    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.
    Last updated
    5
    5
    MIT

  • HueMCP

    mbruton
    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.
    Last updated
    10
    MIT

  • aria-mcp-elpriser

    kimhjort
    A
    license
    A
    quality
    C
    maintenance
    MCP server for fetching Danish electricity spot prices (DK1/DK2) using the free elprisenligenu.dk API, providing tools to get current price, cheapest hours, and price summaries.
    Last updated
    4
    MIT

  • SwitchAI

    US1929
    A
    license
    A
    quality
    B
    maintenance
    AI agent for Italian energy tariff comparison. Analyzes electricity and gas bills, compares 44+ offers from 13 providers, estimates savings with full ARERA regulated cost breakdown
    Last updated
    7
    MIT

  • datacenter-mcp-server

    log-wade
    A
    license
    A
    quality
    B
    maintenance
    Provides professional-grade data center engineering calculations including cooling, power, GPU thermal optimization, UPS/battery sizing, tier classification, and commissioning workflows, compliant with ASHRAE and Uptime Institute standards.
    Last updated
    8
    13
    1
    MIT

  • shelly-mcp

    Buggy1111
    A
    license
    A
    quality
    A
    maintenance
    MCP server for the entire Shelly smart-home ecosystem, enabling local-first control, automation, and energy monitoring of Shelly devices with cloud fallback.
    Last updated
    47
    MIT

  • OT-AIops Energy

    industrial-aiops
    A
    license
    A
    quality
    A
    maintenance
    Governed, read-only OT data tap for substation and utility telecontrol — IEC 60870-5-104, DNP3/IEEE 1815, and IEC 61850 MMS connectors with cross-protocol asset discovery, alarm and downtime RCA, unbypassable audit logging (MCP + CLI), budget/runaway guards, and an airgap no-egress mode. Energy edition of Industrial-AIOps, built on iaiops.core.
    Last updated
    59
    MIT

  • trane-mcp

    NoBanks
    A
    license
    A
    quality
    C
    maintenance
    Provides AI agents with read access to Trane Tracer SC+ building automation systems for inventory and telemetry retrieval.
    Last updated
    8
    MIT

  • fin-data-mcp-server

    CohenD
    A
    license
    A
    quality
    C
    maintenance
    A Model Context Protocol server providing free financial market data across 13 categories with 83 no-key tools, enabling access to stocks, indices, options, forex, crypto, energy, prediction markets, and more.
    Last updated
    83
    MIT

  • Energy Grid MCP Server

    AiAgentKarl
    A
    license
    A
    quality
    D
    maintenance
    Provides real-time electricity grid data including CO2 intensity, power mix, and wholesale prices, plus optimal green time windows for energy-intensive AI tasks. Supports UK, Germany, and global regions with optional API keys.
    Last updated
    9
    MIT

  • Dual Water Tank MCP

    ZidingWang
    A
    license
    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.
    Last updated
    3
    4
    Apache 2.0

  • EnergyAtIt MCP Server

    kasathur
    A
    license
    B
    quality
    D
    maintenance
    Connects AI agents to energy infrastructure with 30+ tools for managing sites, assets, dispatch, settlements, compliance, and carbon tracking.
    Last updated
    34
    44
    MIT

  • KETI FLOW MCP

    CodeNinja1126
    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.
    Last updated
    2
    1