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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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    quality
    C
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    Enables AI assistants to compile distribution feeders, run power flow, voltage and thermal violation checks, short-circuit and Thévenin impedance studies, hosting capacity and QSTS analyses, and add or edit elements, through 20 typed tools that return structured JSON or Markdown with the inputs that produced the results.
    20
    MIT
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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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    Enables AI agents to operate a US power-grid data pipeline – ingest, plan, run, and monitor datasets like CAISO, ERCOT, and EIA-930 through MCP tools that mirror the CLI.
    Apache 2.0
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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 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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    Enables prospecting lists of addresses, points or a bounding box through the Google Solar API's detected-arrays insight, reporting for each building whether rooftop PV is already detected, how old the capture imagery is, and how strong the roof's solar potential is. It ranks the remaining buildings into a reviewable prospect list while tracking call budget and list-price cost.
    Apache 2.0
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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.
    4 npm
    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.
    2 npm
    MIT
  • A
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    Enables local control of an installed PVsystCLI 8 on Windows, letting a client check license quota, list workspace projects and variants, build SFI definitions, run existing project/variant simulations, convert staged weather data into MET files, and summarize numeric result columns. It exposes only seven typed tools with filename-based access to fixed workspace folders, and never overwrites existing output files.
    4
    MIT
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    Enables AI agents to answer data-center siting questions by querying a live facility registry, per-metro market intelligence, real-time grid fuel mix and demand, and leasable capacity listings, including a one-call planner that combines these into ranked, cited answers. Results are fetched live per request, keyless, with optional API keys for fuller responses.
    MIT
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    Enables querying US electric grid time-series data – LMP prices, load, fuel mix – across ISOs via tools to list datasets, fetch historical windows, and get latest values.
    11 npm
    MIT
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    Enables voice assistants to answer when to run household appliances using live solar forecasts, typical-year production, savings, battery, and multi-load planning. It remembers site details, estimates usable solar windows, and returns concise spoken guidance without inventing measurements.
    MIT
  • F
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    Exposes EnergyPlus simulation control (run, parse metrics, edit schedules) as LLM tools for autonomous building energy optimization.
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  • F
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    Enables streaming inference over utility meter telemetry with exactly-once tumbling windows and offline, in-process anomaly detection via stdio JSON-RPC, keeping regulated meter data within the customer boundary.
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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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  • F
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    D
    maintenance
    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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  • F
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    Provides tools for querying Danish day-ahead electricity prices, finding cheapest charging windows, estimating costs, and creating pending charging plans, with strict validation and human-in-the-loop approval for write operations.
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