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    Hourly electricity grid carbon intensity (gCO2eq/kWh) for 45 zones across Europe, the US and Great Britain, computed from ENTSO-E, EIA and NESO generation data. Four read-only tools; every value carries its interval timestamp and how stale it is. No API key, no account.
    4
    MIT
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    Carbon-aware MCP scheduler that defers "do it later" / "by tomorrow" / "overnight" LLM tasks to the cleanest electricity-grid hour inside a deadline — 40-70% lower CO2 per task, 50% cheaper via Anthropic/OpenAI Batch APIs. 9 MCP tools, per-task carbon receipts to local SQLite, Apache-2.0.
    9
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    Apache 2.0
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    Enables users to ask directly within a Claude Code or Codex chat how much energy and CO2eq their current session or entire project has consumed, estimated locally from session logs with no telemetry or network calls. It also reports everyday-activity equivalents such as kettle boils or washing machine cycles for the resulting figures.
    2
    MIT
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    MCP server for the OpenEMT electromagnetic transient simulator, enabling AI agents to enumerate the physics catalog, build circuits, solve power flow and EMT studies, and query simulation results by stable block ID.
    4 npm
    4
    AGPL 3.0
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    Enables access to US Energy Information Administration statistics including production, consumption, prices, exports, and more, with series search and natural-language queries.
    18 npm
    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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    Enables AI agents to discover and execute solar energy domain tools such as solar cell simulation, perovskite parameter/bandgap/aging prediction, RAG knowledge retrieval, and curve/table generation through MCP.
    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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    MCP server for querying ENTSO-E Transparency Platform data including actual load, generation per type, cross-border flows, and installed capacity.
    15 npm
    MIT
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    A physics engine for liquid-cooled GPU systems, exposed as an AI-callable MCP server. Enables thermal analysis, coolant comparison, flow optimization, and rack-level sizing via natural language queries.
    1
    MIT
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    Enables access to real-time electricity data for a 15-state US region plus Manitoba: fuel mix, five-minute wholesale prices, binding transmission constraints, load and forecasts, and wind/solar output. Can run as a remote MCP endpoint or a local stdio server with no authentication.
    13 npm
    MIT
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    Enables real-time access to US electricity generation, fuel mix, and demand data through natural language queries.
    31 npm
    MIT
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    Enables AI agents to search, compare, and sign up for Texas utility plans (electricity, internet, gas, water, trash) across all ZIP codes, returning ranked options with one-click signup links.
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    Provides tools to search, inspect, and query energy open data from ODRE (electricity & gas production, consumption, grid load, renewables) using natural language or direct tool calls.
    25 npm
    MIT
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    MCP server that enables users to query and download SABESP (São Paulo state water utility) bills and account data from official sources, with read-only access and pay-per-use pricing.
    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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    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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    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