Corrently Green Index MCP. Plan energy usage around the cleanest, cheapest grid hours.
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Corrently Regional Green Index. Get green power forecasts and real-time energy market prices by ZIP code. This server feeds your AI agent hyperlocal energy intelligence, showing when the electricity grid is cleanest.
It helps you schedule energy-intensive jobs—like running smart appliances or computation—to match renewable energy peaks, while also providing live market cost data.
It's a regional energy consultant built into your chat.
What your AI agents can do
Get energy market data
Gets the latest exchange price and historical trend data for the regional electricity market.
Get regional green index
Returns the forecast of when the local electricity grid is cleanest for a specified ZIP code.
Sends a ZIP code and returns the predicted Green Power Index (GSI) and the cleanest time window for that region.
Pulls the latest exchange price and historical trends for regional electricity market data.
Analyzes the GSI and market data to recommend specific time slots for high-draw activities.
Compares the current grid's energy mix against a target index or benchmark.
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Supported MCP Clients
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Corrently Green Index: 2 Tools for Energy Data
Use these two tools to get hyperlocal energy forecasts and current market prices, allowing your AI agent to plan energy use based on both sustainability and cost.
019d842aget energy market data
Gets the latest exchange price and historical trend data for the regional electricity market.
019d842aget regional green index
Returns the forecast of when the local electricity grid is cleanest for a specified ZIP code.
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What you can do with this MCP connector
You're looking to get real-time, hyper-local energy intel? The Corrently server feeds your AI agent data on when the local electricity grid is cleanest and what the market's doing with power. You can use this to plan heavy energy usage around the best times and figure out the cost.
get_regional_green_index sends a ZIP code and spits out the predicted Green Power Index (GSI) and the specific time window when the region runs on the cleanest energy mix.
get_energy_market_data pulls the latest exchange price and historical trends for the regional electricity market. This shows you both the current cost and how the market's moved over time.
With this, your agent can figure out the optimal times to run high-draw activities by analyzing the GSI and the market data. You can compare the current grid's energy mix against a benchmark to see how clean it really is. You'll use this to schedule energy-intensive jobs—like running smart appliances or computation—to match renewable energy peaks, while also getting live market cost data.
It's like having a regional energy consultant built right into your chat.
How Corrently Green Index MCP Works
- 1 Subscribe to the Corrently server. No API key is required for public access.
- 2 Tell your AI agent to check the green index or market prices for a specific ZIP code (e.g., 'What is the green index for 90210?').
- 3 Your agent executes the relevant tool, returning structured data detailing the forecast or current market rates.
The bottom line is you ask your agent a question about energy, and it fetches the localized green forecast or current market rate for you.
Who Is Corrently Green Index MCP For?
The sustainable developer who needs to run compute jobs only when the grid is clean. The smart home owner who wants to schedule appliances for the cheapest, greenest hours. Or the energy analyst tracking price volatility and regional grid performance.
Triggers energy-intensive jobs (like model training or batch processing) only when the Corrently GSI shows high renewable input.
Schedules major appliances (like EV charging or laundry) for the time window identified by the green index as most sustainable.
Tracks real-time electricity exchange prices and compares price trends against the regional grid's green index.
What Changes When You Connect
- Schedule high-draw jobs for optimal times. Use
get_regional_green_indexto identify the precise time window when the local grid is powered by the highest percentage of renewables. - Manage costs with real-time data.
get_energy_market_datagives you the latest exchange price, letting you compare greenness against immediate cost. - Automate sustainability checks. Your agent can pull the Green Index for any ZIP code, letting you validate if a planned operation meets a sustainability threshold.
- Improve grid planning. Monitor the environmental performance of local energy infrastructure, seeing exactly how the mix of energy sources changes over time.
- Get actionable insights. Instead of just a number, the system tells you when the grid is cleanest and why (e.g., 'tomorrow between 2 PM and 4 PM').
Real-World Use Cases
Optimizing Compute Jobs
A DevOps engineer needs to run a large, compute-heavy data job. They ask their agent: 'When is the green index highest for ZIP 90210?' The agent uses get_regional_green_index to identify the best window, allowing the engineer to schedule the job for maximum renewable input and minimum carbon footprint.
Smart Appliance Scheduling
A homeowner wants to charge their EV. They ask: 'When is the cleanest and cheapest time to charge my car?' The agent runs both get_regional_green_index and get_energy_market_data, giving a recommendation that balances peak green power with low market cost.
Market Trend Analysis
An energy analyst needs to report on price volatility. They prompt: 'Show me the market price trend and the corresponding GSI.' The agent uses get_energy_market_data and cross-references it with the forecast from get_regional_green_index to build a complete picture of market stability versus sustainability.
Researching Grid Sustainability
A city researcher wants to know if a new development is sustainable. They ask the agent to check the GSI for the area. The agent runs get_regional_green_index, providing the environmental performance data needed to assess the project's long-term impact.
The Tradeoffs
Ignoring Cost
Relying only on the green index without checking prices. You might run a job when the grid is green, but the market price is prohibitively high, making the project financially unviable.
→
Always run both tools. Check get_regional_green_index for sustainability, then use get_energy_market_data to confirm the immediate financial cost. Combine the results for a complete plan.
Using Stale Data
Manually checking a static dashboard that hasn't updated. You assume the green index is low, but the market price has dropped significantly in the last hour.
→
Use get_energy_market_data to fetch the real-time exchange price, and get_regional_green_index for the latest forecast. This ensures you're working with live data.
Focusing on One Metric
Only asking 'What is the green index?' and stopping there. This misses the economic reality—a green index of 90 might cost $200/MWh, which is too much.
→ Ask your agent to synthesize both data points. Prompt: 'Where is the greenest time that is also under $80/MWh?' The agent uses both tools to give a practical, actionable answer.
When It Fits, When It Doesn't
Use this if your primary concern is the intersection of sustainability and cost. You need to know: 1) When is the grid cleanest? 2) What is the cost of power right now? The combination of get_regional_green_index and get_energy_market_data solves this. Don't use this if you only need historical data—look for a dedicated data warehouse tool. Don't use this if you need to predict future policy changes—that requires a legal compliance or macro-economic modeling tool. This server is for tactical, time-sensitive energy scheduling and real-time cost analysis.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Corrently. 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 2 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Energy planning used to mean clicking across three different dashboards.
Before, you needed to check the utility's website for the GSI, then open a separate market data feed to see prices, and finally, cross-reference a third spreadsheet to find the best time slot. It was a manual, multi-hour process of copy-pasting and comparison.
Now, you just ask your agent: 'What's the optimal time to run the chiller?' The agent uses the Corrently MCP server to run both `get_regional_green_index` and `get_energy_market_data` simultaneously. You get one answer: the most sustainable and cost-effective time, instantly.
Corrently Regional Green Index MCP Server: Get the Forecast
You no longer have to wait for scheduled reports. You ask the agent for the Green Index for a specific ZIP code, and it runs `get_regional_green_index` immediately. It doesn't just give you a number; it tells you the peak clean hours.
This changes the game from 'data retrieval' to 'decision making.' Your agent handles the complexity of local grid performance, letting you focus on the next step.
Common Questions About Corrently Green Index MCP
How do I check the green energy index with the Corrently Regional Green Index MCP Server? +
You ask your agent to check the green index for a specific ZIP code. The agent uses the get_regional_green_index tool, which returns the current forecast and the cleanest time window for that region.
Can I use the Corrently Regional Green Index MCP Server to check current energy market prices? +
Yes. You prompt your agent to fetch market data. The agent calls get_energy_market_data and returns the latest exchange price and historical trends.
Is the Corrently Regional Green Index MCP Server limited to specific geographies? +
The server provides hyperlocal intelligence for supported ZIP codes. Always specify the ZIP code in your prompt so the agent can query the correct regional data.
What is the difference between using the two tools together? +
Using both tools together is critical. get_regional_green_index tells you about sustainability; get_energy_market_data tells you about cost. The combination provides a complete, actionable plan.
How do I get the latest energy market prices using the get_energy_market_data tool? +
The tool retrieves real-time exchange prices. You simply ask your AI client to run get_energy_market_data() and specify the time frame if needed. The output provides the latest price and stability trends.
What kind of ZIP codes can the get_regional_green_index tool forecast? +
The tool forecasts for supported ZIP codes, primarily focusing on regions like Germany. The documentation provides a list of supported regions. Always verify the ZIP code with the Corrently documentation.
Is there an API Key or subscription needed to use the Corrently Regional Green Index MCP Server? +
No, the server is publicly accessible. You don't need to worry about API keys or subscriptions; just connect your AI client and start querying the regional energy data.
How does the Corrently Regional Green Index help with scheduling energy-intensive tasks? +
Your agent identifies the best hours to run heavy loads. It uses the green index forecast to tell you when the grid is cleanest, allowing you to schedule things like computing jobs or appliance use.
Does this work outside of Germany? +
The Green Power Index (GSI) is currently most accurate and comprehensive for German ZIP codes. Market data includes broader European exchange info.
What is the GSI scale? +
The Green Power Index (GSI) ranges from 0 to 100. A higher value indicates a higher percentage of renewable energy in the regional grid at that specific time.
Can I get market prices for today? +
Yes. The get_energy_market_data tool retrieves current electricity exchange prices, which are essential for industrial and commercial energy management.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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