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"Victron Energy" matching MCP servers:

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    Provides access to Danish energy data from Energinet, including real-time electricity spot prices, CO2 emissions, and production mix. It enables users to monitor grid status and identify the most cost-effective hours for energy-intensive tasks.
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    MIT
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    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.
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    MIT
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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.
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    MIT
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    ollect comprehensive environmental data from 80+ US federal sources (FEMA, EPA, USGS, NOAA, NRCS, USFWS, DOE, DOT, CDC, Census) for any US location. One tool returns flood zones, soils, wetlands, rainfall, water quality, contamination, seismic risk, infrastructure, ecology, energy, and demographics.
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    MIT
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    Provides access to U.S. Energy Information Administration (EIA) data, covering electricity grid operations, retail sales, and natural gas production metrics. It enables natural language querying of energy market statistics, infrastructure profiles, and real-time balancing authority data.
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    Provides access to a suite of Nordic data tools covering Danish business records, addresses, weather, and energy prices, alongside Norwegian and Finnish company information. This unified server enables users to query public APIs for regional data across Denmark, Norway, and Finland without requiring individual API keys.
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    MIT
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    MCP server providing AI agents with access to German government open data. 12 tools across 6 categories: Autobahn traffic, DWD weather, NINA disaster warnings, SMARD energy market, Bundestag parliamentary data, and pollen forecasts. All APIs are free, no keys required.
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    MIT
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    A Python-based MCP server that enables searching for high-energy physics literature on INSPIRE-HEP by title, author, or full text. It provides optimized search results including citations, abstracts, and arXiv links while allowing filters for publication date and collaboration size.
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    MIT
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    An MCP server that enables natural language interaction with the MeteoControl VCOM API v2 for monitoring solar array installations. It allows users to retrieve real-time and historical energy data, system alerts, and detailed asset configuration metrics.
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    4
    Apache 2.0
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    Provides large language models with access to news and information about renewable energy projects in Germany, allowing filtering by location, topic (solar, wind, hydrogen), and date range.
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    MCP server with 562 tools accessing 114 government data APIs covering economic, health, education, energy, and more from federal, state, and international sources.
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    MIT
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    Offline SQLite-backed nuclear physics data server for AI agents, providing atomic masses, nuclear properties, charge radii, energy levels, and more from multiple evaluated databases.
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    MIT
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    Provides seamless access to official Ukrainian government statistics from the State Statistics Service via their SDMX API. It enables users to query bilingual datasets across domains like energy, demographics, and trade using flexible filtering and metadata exploration tools.
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    MIT
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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.
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    14
    MIT
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    A read-only MCP server that exposes European day-ahead electricity prices for ~41 bidding zones via tools like hourly prices, cheapest hours, current price, and cross-zone summary, enabling AI agents to query energy market data.
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    Enables AI agents to search and retrieve cited evidence packs for renewable energy assets, analyze locations, and access regional energy context, all from a local DuckDB snapshot of Aragon renewable infrastructure data.
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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.
    Last updated