Corrently Energy MCP. Know when German power is cheapest, cleanest, and most available.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Corrently Energy connects your AI client directly to real-time German energy market data. It gives you metrics on CO₂ intensity, wholesale electricity prices, and solar/wind generation forecasts.
Use it to automatically schedule everything from EV charging to heat pumps based on whether the power is cheapest, cleanest, or most available.
What your AI agents can do
Calculate co2 offset
Calculates the compensation required and available options to offset a specified amount of CO₂ in kilograms.
Create energy schedule
Generates an optimized operational schedule for appliances based on price, solar peaks, emissions, or comfort settings.
Get best hour
Finds the optimal time window for energy use by considering renewable availability and low CO₂ emissions in a specified area.
Determines the cost and requirements needed to neutralize measured CO₂ emissions from specific activities.
Builds automated schedules for devices (EVs, heat pumps) based on your chosen priority: lowest price, maximum solar, or minimum emissions.
Pinpoints the best time window—hours in advance—to run energy-intensive appliances for peak green power or low CO₂.
Provides instant, real-time readings of carbon emissions (g CO₂/kWh) currently flowing through the local grid.
Predicts how clean or dirty the power grid will be at a future time, based on predicted solar and wind input.
Retrieves wholesale market data, current electricity prices, and details on which power plants are running (merit order).
Ask AI about this MCP
Supported MCP Clients
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Corrently Energy: 12 Tools for Grid Analysis
Use these tools to access specific German energy data points—from live carbon meter readings to optimized appliance schedules based on cost or renewable availability.
019d757ccalculate co2 offset
Calculates the compensation required and available options to offset a specified amount of CO₂ in kilograms.
019d757ccreate energy schedule
Generates an optimized operational schedule for appliances based on price, solar peaks, emissions, or comfort settings.
019d757cget best hour
Finds the optimal time window for energy use by considering renewable availability and low CO₂ emissions in a specified area.
019d757cget co2 meter
Reads the current carbon intensity of electricity, reporting grams of CO₂ per kilowatt-hour for a German zip code.
019d757cget co2 prediction
Forecasts the anticipated carbon emissions level (CO₂) that the power grid will operate at over time for a given location.
019d757cget dispatch
Shows how much renewable energy is currently feeding into the grid, detailing the contributions from wind and solar sources.
019d757cget gsi prediction
Predicts the GrünstromIndex (Green Power Index), indicating when clean, renewable power is expected to be most abundant in a location.
019d757cget market data
Retrieves current wholesale electricity market prices and regional cost forecasts for a German zip code.
019d757cget merit order list
Displays the current energy generation mix, showing which power plants are active and their operational costs.
019d757cget phev charge or fuel
Gives decision support to plug-in hybrid drivers on whether they should charge electrically or use gasoline at a specific location.
019d757cget solar prediction
Forecasts the expected energy output (kWh) from a specified solar panel installation size over time.
019d757cget stromkonto balance
Checks the current status and balance of an electricity account or green energy certificate record.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Corrently Energy, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Your AI client connects right to real-time German energy market data through this server. You get hard metrics on CO₂ intensity, wholesale electricity prices, and detailed solar or wind generation forecasts for specific locations. This isn't just a dashboard you look at; it's an active data stream you run decisions off of.
You can program your agent to monitor the grid moment by moment, letting you schedule high-draw appliances—like heat pumps or electric vehicles—only when conditions are optimal: lowest price, greenest power, or best overall balance.
Carbon and Emissions Tracking
When you need to know about carbon impact, start with get_co2_meter to read the current carbon intensity of electricity flowing through a local German grid, giving you instant grams of CO₂ per kilowatt-hour. If you're planning activities, use calculate_co2_offset; it figures out exactly what compensation is required and shows you available options to offset specific amounts of CO₂ in kilograms.
To plan ahead, run get_co2_prediction, which forecasts the anticipated carbon emissions level—the grid's dirty or clean status—over time for a specified location. You can also predict future cleanliness using get_gsi_prediction; this tool points out exactly when the GrünstromIndex (Green Power Index) expects clean, renewable power to be most abundant in your area.
Optimization and Scheduling
Need to run an appliance at the perfect time? Use get_best_hour to pinpoint the optimal window—hours ahead—to run energy-intensive gear by factoring in local renewable availability and low CO₂ emissions. For building out automated routines, create_energy_schedule generates a full operational schedule for your devices (EVs, heat pumps) based on whatever priority you pick: lowest price, maximum solar input, or minimum carbon emissions.
If you're managing a complex home system, check the power source with get_solar_prediction; this forecasts the expected energy output in kilowatt-hours from any specified size of solar panel installation over time. For hybrid owners, get_phev_charge_or_fuel gives your agent decision support on whether you should charge electrically or just use gasoline at a specific location.
Market and Grid Status Monitoring
To understand the full picture, grab current market data using get_market_data. This pulls in wholesale electricity market prices and regional cost forecasts for any German zip code. Want to know who's supplying the juice? Run get_merit_order_list to display the active energy generation mix, showing which power plants are running right now and what their operational costs are.
You can track renewable contribution with get_dispatch, which shows how much clean energy is currently feeding into the grid, detailing specific contributions from both wind and solar sources. To get a deeper look at the green energy flow, you'll find get_gsi_prediction helps predict when clean power will hit its peak abundance in your location.
For those dealing with accounts or certifications, use stromkonto_balance to check the current status and balance of an electricity account or green energy certificate record.
Comprehensive Usage Flow
You'll also want to optimize usage by running get_co2_prediction for future grid analysis and checking out how much power you can expect from your panels with get_solar_prediction. This whole suite lets your agent find the best time to run things, monitor costs in real-time through market data, and track every facet of clean energy generation.
How Corrently Energy MCP Works
- 1 Subscribe to the Corrently Energy server. If you need high rate limits, enter your API token.
- 2 (Optional) Tell your AI client what specific energy data you need—for example, 'What is the CO₂ forecast for 10115?'
- 3 The agent calls the relevant tool (e.g.,
get_co2_prediction), processes the German location code, and returns a structured answer about pricing, emissions, or availability.
The bottom line is your AI client becomes an energy analyst that uses current market data to tell you exactly when and how to consume power for maximum efficiency.
Who Is Corrently Energy MCP For?
This is for the sustainability manager who has to report on carbon goals, or the homeowner running a smart grid. You're done clicking through five different utility dashboards just to figure out if your EV charging was green enough. This lets you automate complex energy decisions based on live market data.
Runs reports and calculates offsets using calculate_co2_offset or monitors grid emissions with get_co2_meter for corporate reporting.
Uses create_energy_schedule to program appliances like heat pumps and EV chargers so they run only when solar generation is highest or prices are lowest.
Retrieves market data via get_market_data and views the get_merit_order_list to advise clients on optimal energy sourcing strategies.
What Changes When You Connect
- Maximize savings by scheduling loads. Use
create_energy_scheduleto set your heat pump or EV charger to run only during periods flagged as 'price' optimized, avoiding peak-rate costs. - Prioritize the environment with precision. Running a query for
get_best_hourensures you use energy when both CO₂ emissions are lowest and solar generation is at its maximum. - Eliminate guesswork on carbon footprinting. Instead of estimating, run
get_co2_meterto see the immediate, live grams of CO₂ per kWh flowing through your specific German zip code. - Plan for high-draw devices with confidence. Use
get_solar_predictionby inputting your system's kWp and seeing exactly how much energy you can expect from your roof over time. - Understand the grid mix instantly. The
get_merit_order_listshows which power sources are actually running right now, letting you know if gas plants or renewables dominate the supply. - Manage accounts without logging in. Check credits and account status instantly using
get_stromkonto_balance, keeping track of your green energy certificates.
Real-World Use Cases
The Solar-Powered Homeowner
A homeowner needs to run a large washing machine. They ask their agent, 'What's the best time for this?' The agent checks get_best_hour and determines that between 11:00 and 14:00 is optimal—that’s when solar generation peaks and CO₂ levels are lowest. They schedule it then.
The Fleet Manager
A company needs to charge its fleet of hybrid vehicles across multiple sites. The manager uses get_phev_charge_or_fuel for each zip code and aggregates the data, scheduling charging only when the local market price is below a defined threshold.
The Environmental Auditor
An auditor needs to report on corporate emissions. They first use calculate_co2_offset to find the necessary compensation for 50,000 kg of CO₂, then cross-reference this with get_co2_prediction to show their clients when the regional grid is naturally cleanest.
The Smart Grid Planner
An engineer needs to forecast energy needs for a new industrial park. They combine get_market_data with get_gsi_prediction across various times of day, building an operational schedule that minimizes both cost and carbon output.
The Tradeoffs
Checking only the price.
The user asks: 'What are the cheapest hours today?' This relies solely on get_market_data and ignores environmental impact or solar availability.
→
To get a true optimal window, run two checks. First, find low-cost times via get_market_data. Second, take those results and cross-reference them with get_best_hour to ensure you're getting both cheap and green power.
Ignoring the location.
The user asks: 'When should I run my dishwasher?' This question is useless because energy prices and grid composition vary wildly by zip code. The server needs a specific location to function.
→
Always specify the target area in the request parameters. Pass the required 5-digit German zip code (Postleitzahl) to any scheduling or forecasting tool, like create_energy_schedule.
Treating all power as equal.
The user runs a generic schedule without specifying optimization criteria. The resulting schedule might run during peak demand times when the grid is dirtiest and most expensive.
→
When scheduling, explicitly set the optMode parameter in create_energy_schedule. Choose 'emission' to prioritize clean power over cost, or choose 'solar' if you only care about self-generation.
When It Fits, When It Doesn't
Use this server if your decision hinges on German electricity prices, carbon intensity, or renewable availability. You need data that changes hourly and relates consumption to the grid status.
Don't use it if: 1) Your needs are purely localized (e.g., 'What is my bank balance?'). Use get_stromkonto_balance for account details. 2) You only care about generalized power supply without location specificity. All tools require a specific German zip code because energy markets are hyper-local.
The strongest workflows involve chaining calls: Check the current emissions with get_co2_meter, then use that data point to feed into an optimized schedule using create_energy_schedule.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Corrently Energy. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Figuring out if power is clean enough shouldn't require cross-referencing three different utility websites.
Today, checking your energy plan means jumping between pricing dashboards, carbon calculators, and solar forecasts. You copy a zip code here, paste it there; you run one report only to find out the price is cheap but the grid is burning coal that afternoon. It's slow, manual, and prone to conflicting data points.
With Corrently Energy MCP Server, your agent handles the cross-referencing automatically. You simply ask: 'When should I run my washing machine?' The server combines `get_co2_prediction`, `get_market_data`, and solar input into one answer, giving you a single optimal window.
The get_merit_order_list tool shows the real power mix in seconds.
Manual investigation requires calling multiple APIs—one for gas generation, one for nuclear output, and another for wind farm contributions. You spend time interpreting percentages that might not reflect actual cost or reliability.
The `get_merit_order_list` cuts the noise instantly. It tells you which power plant is active and how efficient it is right now. No more guessing about what's actually running to keep your lights on.
Common Questions About Corrently Energy MCP
Do I need an API token to use the Corrently Energy MCP server? +
No! Most Corrently API endpoints work without authentication. An optional token is only needed if you want higher rate limits for heavy usage. Simply subscribe to the server and start querying energy data immediately.
What German zip codes are supported for energy forecasts? +
All German Postleitzahl (PLZ) 5-digit zip codes are supported — from 01067 (Dresden) to 80331 (Munich). Simply provide any valid German zip code and the API will return localized energy forecasts for that region's grid area.
Can I use this MCP server to optimize when I charge my electric vehicle? +
Absolutely! Use the get_best_hour tool to find optimal charging windows based on renewable energy availability or lowest CO₂ emissions. Then use create_energy_schedule to generate a full optimized charging plan. You can also use get_phev_charge_or_fuel if you drive a plug-in hybrid and need advice on whether to charge electrically or use fuel.
How accurate are the solar generation predictions for my photovoltaic system? +
The get_solar_prediction tool provides forecasts based on weather models and your system's kWp capacity. Accuracy depends on location, panel orientation, and weather conditions. It's best used for relative comparisons (e.g., "Will tomorrow be sunnier than today?") rather than absolute precision. For typical home systems (5-10 kWp), day-ahead forecasts are generally within 15-25% of actual generation.
How does the real-time nature of `get_co2_meter` affect my data? +
The reading is instantaneous, reflecting the grid's current carbon intensity. It doesn't predict; it reports what's happening right now in that German zip code.
What’s the difference between using `get_best_hour` and `create_energy_schedule`? +
get_best_hour just finds optimal time windows for you. Conversely, create_energy_schedule actually builds a full, automated operating schedule for your devices over multiple hours.
If I pass the wrong parameters to `get_gsi_prediction`, how will my AI client handle it? +
Your AI client handles validation errors by alerting you immediately. If required inputs like the five-digit zip code are missing or invalid, the call fails before accessing data.
Does `get_merit_order_list` include cost data for all energy sources? +
No, it shows which power plants are actively generating electricity and their associated costs. It focuses on the generation mix rather than overall market pricing.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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