Corrently Energy MCP Server
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.

Funciona con todos los agentes de IA que ya usas
…y cualquier cliente compatible con MCP


















Corrently Energy MCP Server: mira tu AI Agent en acción
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
Accede a Corrently Energy y a más de 2.000 servidores MCP — listos para que tus agentes los usen, ahora mismo. Sin código pegamento. Sin integraciones personalizadas. Solo conecta el Vinkius AI Gateway y deja que tus agentes trabajen.
Más en esta categoría

BCB Câmbio — Dólar PTAX, Euro e 150+ Moedas
5 herramientasOfficial exchange rates from Brazil's Central Bank: daily PTAX dollar quotes (the official BRL/USD reference rate), historical series, any of 150+ currencies against BRL, complete currency catalog, and SGS time series for long-term FX data.

openFDA
3 herramientasAccess the powerful openFDA databases for drug adverse events, food recalls, and medical device safety reports globally.

Mode (Collaborative Data Platform)
7 herramientasManage collaborative analytics via Mode — list data reports, explore organizational spaces, and audit data sources.
También podría gustarte

Mattermark
10 herramientasStartup and venture capital data via Mattermark — search companies, investors, and funding rounds.

IBGE Full Access — Dados Brasileiros
15 herramientasThe ultimate Brazil data Mega-Server: 15 tools spanning census, cities, CNAE economy, name trends, survey indicators, IBGE news, and country comparisons — all of Brazil's official statistics in one zero-auth integration.

freee
9 herramientasManage Japanese accounting and business via freee — track deals and invoices, handle partners and expenses, and audit tax codes directly from any AI agent.
