How to Use the Corrently Energy MCP in VS Code Copilot

Q: Can VS Code Copilot use Corrently Energy to analyze electricity costs?

Yes, the agent runs the getmarketdata tool to pull current German wholesale prices. You can analyze regional energy costs directly inside your shared workspace.

Q: How does the Corrently Energy MCP Server handle solar forecasts in my VS Code Copilot setup?

Your agent queries getsolarprediction with a specified kilowatt-peak value to model expected PV output. This lets your team write collaborative scripts based on real solar generation forecasts.

Q: What tools are available for monitoring green power abundance?

The getgsiprediction tool tracks the GrünstromIndex, showing when renewable energy is most plentiful. Your agent uses this to write scheduling scripts for high-power operations.

Commit German grid data and carbon tracking tools directly to your team's repository with VS Code Copilot.

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Connect Corrently Energy MCP to VS Code Copilot

Create your Vinkius account to connect Corrently Energy to VS Code Copilot 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 VS Code Copilot

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Team-Wide Carbon Tracking

The `calculate_co2_offset` tool lets your VS Code Copilot agent calculate emission compensation requirements directly from your terminal or chat. Your entire team uses the shared VS Code Copilot configuration to estimate project carbon footprints with Corrently Energy. To monitor regional grid cleanliness, the agent queries `get_co2_prediction` to forecast carbon intensity. This keeps your environmental metrics accurate and unified across your entire engineering department.

Share an MCP Server Across Your Git Repo

The `get_best_hour` tool integrates into your shared repository configuration to give every developer access to optimal grid windows inside VS Code Copilot. Your team can build and test grid-aware applications without individual API setup headaches. The agent invokes `get_dispatch` to analyze local renewable energy feed-ins directly in VS Code Copilot. Working with identical, real-time German grid data becomes standard for everyone on the project.

Smart Charging Logic in Your Editor

The `get_phev_charge_or_fuel` tool provides instant decisions on whether a hybrid vehicle should charge or run on fuel based on local German grid rates. Your VS Code Copilot agent uses this logic to build and debug smart-charging algorithms. For deeper optimization, the agent calls `create_energy_schedule` to organize charging plans. You get clean, verified code that automates vehicle charging based on real-time grid conditions.

Setup guide

Set up Corrently Energy MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Corrently Energy MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Corrently Energy tools listed. Try asking: "List my recent Corrently Energy transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Common questions about Corrently Energy MCP in VS Code Copilot

Add the server to your shared .vscode/mcp.json file and commit it to your Git repository. Every engineer on your team will immediately have access to the German grid MCP tools.

Yes, the agent runs the `get_market_data` tool to pull current German wholesale prices. You can analyze regional energy costs directly inside your shared workspace.

Your agent queries `get_solar_prediction` with a specified kilowatt-peak value to model expected PV output. This lets your team write collaborative scripts based on real solar generation forecasts.

The `get_gsi_prediction` tool tracks the GrünstromIndex, showing when renewable energy is most plentiful. Your agent uses this to write scheduling scripts for high-power operations.

Every regional postal code, kilowatt-hour reading, and account ID is transmitted over secure, encrypted channels managed by the Vinkius gateway. Your sensitive energy account records never leave the local editor environment.

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