How to Use the Corrently Energy MCP in Cline

Q: Can Cline use Corrently Energy to write automated energy-saving scripts?

Yes, Cline calls createenergyschedule to fetch optimal runtimes for your German zip code. This MCP tool then writes, tests, and saves the automation script directly in your open workspace.

Q: How does Corrently Energy help Cline build solar forecasting tools?

Cline queries getsolarprediction with your PV system capacity and zip code. It then generates the backend code and database models to store the forecasted generation values.

Q: Can I track electricity costs using Corrently Energy in Cline?

Yes, Cline calls getmarketdata to pull current German wholesale prices. The agent can then build a local pricing tracker or write cron jobs to alert you when rates drop.

Let Cline write code, fetch live German grid prices, and build energy dashboards autonomously.

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Connect Corrently Energy MCP to Cline

Create your Vinkius account to connect Corrently Energy to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Corrently Energy with Cline

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Build live energy dashboards with Cline

Cline uses `get_gsi_prediction` to fetch the Green Power Index and writes the React components to display it. The agent handles the API payload, creates the frontend files, and wires up the data fetching automatically. When you need pricing data, Cline calls `get_market_data` to import wholesale rates. It writes the visualization code and displays the finished UI diff directly in your VS Code sidebar.

Automate charging decisions in VS Code via MCP

This MCP Server lets Cline analyze whether you should charge your vehicle or use fuel by calling `get_phev_charge_or_fuel`. The agent writes the decision-making script and saves it to your local workspace. Cline then tests the script using `get_best_hour` to find the absolute cheapest charging window. It modifies your local config files to reflect these optimal hours without you writing a single line of code.

Analyze German power generation mix

Cline queries `get_merit_order_list` to see which power plants are currently active in Germany. It parses the raw JSON and writes a Python script to analyze the cost efficiency of the active grid sources. The agent combines this with `get_dispatch` to track renewable energy feed-in by zip code. It builds local data pipelines to process the wind and solar flow in your target region.

Setup guide

Set up Corrently Energy MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type corrently-energy-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Corrently Energy refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "corrently-energy-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Corrently Energy MCP in Cline

Yes, Cline calls `create_energy_schedule` to fetch optimal runtimes for your German zip code. This MCP tool then writes, tests, and saves the automation script directly in your open workspace.

Cline queries `get_solar_prediction` with your PV system capacity and zip code. It then generates the backend code and database models to store the forecasted generation values.

Yes, Cline calls `get_market_data` to pull current German wholesale prices. The agent can then build a local pricing tracker or write cron jobs to alert you when rates drop.

You pass the token in your local configuration file. Cline reads this setup and automatically applies it to tools like `get_gsi_prediction` to handle high-frequency requests.

Your German zip codes and Stromkonto account IDs are processed in an ephemeral sandbox. Vinkius never logs your query parameters, keeping your local grid usage and account balances private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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