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"Pull requests authored by user '8randonpickart5'" matching MCP servers:

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    MCP server for the Australian Energy Market Operator (AEMO) National Electricity Market. Plain-English access to 5-min dispatch prices, regional demand, interconnector flows, generation by fuel, rooftop PV.
    5
    MIT
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    Enables querying German distribution grid operator data from vnbdigital.de and BDEW register, including lookup by ID, postcode, coordinates, and free-text search.
    MIT
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    An MCP server that enables AI assistants to look up solar permitting authorities, estimate solar production via PVWatts, and retrieve irradiance data. It streamlines the creation of solar-aware workflows by integrating industry-standard APIs like NREL.
    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.
    1
    Apache 2.0
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    Enables querying of real-time and forecast UK carbon intensity data from National Grid ESO, allowing AI agents to retrieve carbon emissions by region and time.
    4
    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.
    52
    3
    AGPL 3.0
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    Provides free energy intelligence APIs for AI agents: solar production estimates, US clean-energy incentives by ZIP, home Energy Node Scores, contractor search, and consented installer routing.
    MIT
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    Provides access to the UK Carbon Intensity API, enabling users to retrieve current, historical, and forecast carbon intensity data, regional data by postcode, and generation mix information.
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    Enables solar energy potential assessment by converting parcel centroid and acreage into annual/monthly generation estimates using the NREL PVWatts v8 API, suitable for revenue modeling and infographic headlines.