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Corrently Energy MCP Server

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Access German energy market data — GrünstromIndex, CO₂ forecasts, solar predictions, electricity prices, and optimized scheduling for smart energy consumption.

Vinkius AI Gateway soporta streamable HTTP y SSE.

Corrently Energy

Funciona con todos los agentes de IA que ya usas

…y cualquier cliente compatible con MCP

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Corrently Energy MCP Server: mira tu AI Agent en acción

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You

Vinkius AI Gateway
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Capacidades integradas (12)

calculate_co2_offset

Helps users understand how to neutralize their carbon footprint. USE WHEN: - User asks how to offset their CO₂ emissions - User wants to calculate carbon compensation needed - User needs information about CO₂ compensation options - User asks about neutralizing their carbon footprint from activities PARAMETERS: - co2_kg (REQUIRED): Amount of CO₂ in kilograms to offset (minimum: 0.1) - activity_type (OPTIONAL): Type of activity that generated emissions (e.g. "flight", "car", "heating") EXAMPLES: - "How much does it cost to offset 500 kg of CO₂?" → call with co2_kg=500 - "Calculate offset for my flight emissions" → call with co2_kg=250, activity_type="flight" - "I drove 1000km, what is the CO₂ compensation?" → call with co2_kg=180, activity_type="car" Calculate CO₂ offset requirements and available compensation options

create_energy_schedule

Schedules are optimized based on electricity prices, solar generation peaks, CO₂ emissions, or comfort levels. USE WHEN: - User wants to create an automated schedule for energy devices - User needs to optimize when to run appliances for cost or green energy - User asks to schedule energy consumption for the next hours - User wants smart scheduling for their heat pump, EV charger, or machinery PARAMETERS: - zip (REQUIRED): German zip code (Postleitzahl) - exactly 5 digits - hours (REQUIRED): Number of hours for the schedule operation (1-36 hours) - optMode (OPTIONAL): Optimization mode - "price" (cheapest), "solar" (max solar), "emission" (lowest CO₂), "comfort" (balanced). Default: "price" EXAMPLES: - "Create a 12-hour schedule for Berlin 10115 optimized for lowest price" → call with zip="10115", hours=12, optMode="price" - "Schedule my EV charging for next 8 hours in Munich using solar energy" → call with zip="80331", hours=8, optMode="solar" - "Optimize my heat pump for 24 hours with lowest emissions in Hamburg" → call with zip="20095", hours=24, optMode="emission" Create an optimized energy schedule for appliances and devices

get_best_hour

Perfect for scheduling energy-intensive activities. USE WHEN: - User asks when is the best time to use energy-intensive appliances - User wants to optimize energy consumption for green power or low emissions - User needs to schedule operations during clean energy peaks - User asks about optimal charging times for EVs or running machinery PARAMETERS: - zip (REQUIRED): German zip code (Postleitzahl) - exactly 5 digits - hours (OPTIONAL): Number of consecutive hours needed (default: 1, min: 1, max: 168) EXAMPLES: - "When is the best 3-hour window to run my dishwasher in Berlin 10115?" → call with zip="10115", hours=3 - "Best time to charge my EV in Munich tonight" → call with zip="80331", hours=6 - "When should I use high-power appliances today?" → call with zip="70173", hours=2 Find the best hours for energy consumption based on renewable availability and low CO₂ emissions

get_co2_meter

Shows grams of CO₂ per kWh right now. USE WHEN: - User asks about current/real-time CO₂ levels in the electricity grid - User wants instant carbon intensity data - User needs to know how clean/dirty the electricity is right now - User asks about live carbon emissions from power PARAMETERS: - zip (REQUIRED): German zip code (Postleitzahl) - exactly 5 digits EXAMPLES: - "What is the current CO₂ intensity in Berlin 10115?" → call with zip="10115" - "Show me real-time carbon levels for Munich 80331" → call with zip="80331" - "Current CO₂ emissions from electricity in Cologne" → call with zip="50667" Get real-time CO₂ meter readings for a German zip code

get_co2_prediction

Shows how carbon-intensive the power grid will be over time. USE WHEN: - User asks about CO₂ emissions or carbon footprint of electricity - User wants to know when electricity is cleanest/lowest emissions - User needs carbon intensity data for a location PARAMETERS: - zip (REQUIRED): German zip code (Postleitzahl) - exactly 5 digits EXAMPLES: - "What are the CO₂ emissions for Hamburg 20095?" → call with zip="20095" - "Show carbon intensity for Frankfurt 60311" → call with zip="60311" Get CO₂ emissions forecast for electricity consumption in Germany

get_dispatch

Shows how much renewable energy is being fed into the grid and its composition. USE WHEN: - User asks about renewable energy feed-in for a location - User needs dispatch data for renewable energy sources - User wants to understand the renewable energy flow in their area - User asks about wind and solar contribution to the grid PARAMETERS: - zip (REQUIRED): German zip code (Postleitzahl) - exactly 5 digits EXAMPLES: - "Show renewable energy dispatch for Berlin 10115" → call with zip="10115" - "How much renewable energy is being fed into the grid in Munich?" → call with zip="80331" - "Wind and solar dispatch for Hamburg 20095" → call with zip="20095" Get renewable energy dispatch information for a German zip code

get_gsi_prediction

USE WHEN: - User asks about green energy availability or renewable power forecast - User wants to know the GrünstromIndex or GSI for a location - User needs to understand when clean energy is most abundant PARAMETERS: - zip (REQUIRED): German zip code (Postleitzahl) - exactly 5 digits, e.g. "10115" for Berlin - token (OPTIONAL): API token for higher rate limits - auto-provided from credentials EXAMPLES: - "What is the renewable energy forecast for Berlin 10115?" → call with zip="10115" - "Show me the green power index for Munich 80331" → call with zip="80331" Get GrünstromIndex (Green Power Index) prediction for a German zip code

get_market_data

Includes wholesale prices and regional cost data. USE WHEN: - User asks about electricity prices or costs in a specific location - User needs market data, wholesale prices, or energy cost forecasts - User wants to compare energy costs across time periods - User asks about cheap/expensive electricity hours PARAMETERS: - zip (REQUIRED): German zip code (Postleitzahl) - exactly 5 digits EXAMPLES: - "What are current electricity prices in Berlin 10115?" → call with zip="10115" - "Show me energy market data for Cologne 50667" → call with zip="50667" - "When is electricity cheapest today in Stuttgart 70173?" → call with zip="70173" Get current electricity market data and pricing information for a German location

get_merit_order_list

This shows which energy sources are being used to generate electricity and their cost efficiency. USE WHEN: - User asks about the current energy generation mix - User wants to understand which power plants are active - User needs merit order data for market analysis - User asks about energy source prioritization in the grid EXAMPLES: - "Show me the current merit order list" → call with no extra params - "What energy sources are currently generating power?" → call with no extra params - "Merit order ranking for Germany" → call with no extra params Get the current merit order list for the German energy market

get_phev_charge_or_fuel

USE WHEN: - User asks whether to charge their PHEV or use fuel - PHEV driver needs advice on optimal energy source - User wants to know if now is a good time to charge their hybrid - User asks about cost-efficiency of electric vs fuel for their PHEV PARAMETERS: - zip (REQUIRED): German zip code (Postleitzahl) - exactly 5 digits EXAMPLES: - "Should I charge my PHEV or use fuel in Berlin 10115?" → call with zip="10115" - "Charge or fuel decision for Munich 80331" → call with zip="80331" - "Is now a good time to charge my hybrid in Hamburg?" → call with zip="20095" Get decision support for plug-in hybrid (PHEV) drivers - charge or fuel

get_solar_prediction

Shows expected energy production over time. USE WHEN: - User asks about solar panel output or PV system generation - User needs forecasts for their solar installation - User wants to know expected renewable energy production - User asks how much energy their solar panels will generate PARAMETERS: - zip (REQUIRED): German zip code (Postleitzahl) - exactly 5 digits - kwp (REQUIRED): Solar panel capacity in kilowatt peak (kWp), range: 0.1 to 1000 EXAMPLES: - "How much energy will my 5 kWp solar system generate in Berlin 10115?" → call with zip="10115", kwp=5 - "Solar forecast for my 10 kWp installation in Munich 80331" → call with zip="80331", kwp=10 - "Expected PV output for 3.5 kWp in Hamburg 20095" → call with zip="20095", kwp=3.5 Get solar energy generation forecast for a photovoltaic installation

get_stromkonto_balance

Shows credits, green energy certificates, and account status. USE WHEN: - User asks about their electricity account balance - User wants to check their Stromkonto status - User needs information about their green energy credits or certificates - User asks about their energy account PARAMETERS: - account (REQUIRED): Account identifier for the Stromkonto EXAMPLES: - "Check my Stromkonto balance for account 0x123abc" → call with account="0x123abc" - "Show my energy account status" → call with account="USER_ACCOUNT_ID" Get Stromkonto (electricity account) balance information

Lo que este conector desbloquea

Connect to Corrently Energy APIs and bring real-time German energy market intelligence to any AI agent. Monitor renewable energy availability, optimize consumption schedules, and make data-driven decisions for sustainable power usage.

What you can do

  • GrünstromIndex (GSI) — Get hourly forecasts for renewable energy availability, showing when green power from wind and solar is most abundant
  • CO₂ Predictions — Track carbon intensity of electricity consumption by German zip code with real-time and forecasted emissions data
  • Best Hour Finder — Automatically identify optimal time windows for energy-intensive activities based on renewable peaks and lowest CO₂
  • Market Data — Access current electricity market prices, wholesale costs, and regional pricing forecasts
  • Solar Forecasts — Predict photovoltaic generation output for specific solar installations based on location and capacity (kWp)
  • Energy Scheduling — Create intelligent operating schedules for EVs, heat pumps, and industrial equipment optimized for price, solar, or emissions
  • Merit Order — View the current energy generation mix showing which power plants are active and their cost efficiency
  • Real-Time CO₂ Meter — Check instant carbon intensity readings (g CO₂/kWh) for any German location
  • PHEV Decision Support — Get smart advice for plug-in hybrid drivers on whether to charge electrically or use fuel
  • CO₂ Offset Calculator — Calculate compensation requirements and available options for neutralizing carbon footprints
  • Renewable Dispatch — Monitor renewable energy feed-in data showing wind and solar contributions to the grid
  • Stromkonto Balance — Check electricity account balances and green energy certificates

How it works

1. Subscribe to this server
2. (Optional) Enter your Corrently API token for higher rate limits — many endpoints work without authentication
3. Start querying German energy data from Claude, Cursor, or any MCP-compatible client

Your AI becomes an energy analyst, helping you consume electricity when it's greenest, cheapest, or cleanest.

Who is this for?

  • Homeowners with Solar Panels — predict your PV system output and find the best times to run appliances using self-generated clean energy
  • EV Owners — schedule charging sessions during high renewable availability or lowest electricity prices
  • Energy Consultants — retrieve market data, merit order lists, and dispatch information for analysis
  • Sustainability Teams — monitor CO₂ intensity and calculate offsets for corporate environmental reporting
  • Smart Home Enthusiasts — integrate energy-aware decision logic into automated home systems

Preguntas frecuentes

Dale a tus agentes de IA el poder de Corrently Energy

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