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How to Use the ENTSO-E MCP in VS Code Copilot

Equip your engineering team with live European power grid data inside VS Code Copilot to build and test energy systems faster.

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VS Code Copilot

Connect ENTSO-E MCP to VS Code Copilot

Create your Vinkius account to connect ENTSO-E 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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Share ENTSO-E MCP Server access across your team

Share ENTSO-E MCP Server access across your team to instantly query `get_actual_load` and other grid metrics. By adding the server to your `.vscode/mcp.json` file, every developer on the project gets instant access to the same grid endpoints. This ensures uniform testing across your entire engineering group. Your team can now write and debug code using identical parameters. No one has to manually configure local endpoints or share API keys over insecure channels. The setup is handled automatically when the workspace opens.

Track cross-border flows and grid congestion

Analyze physical power transfers between European bidding zones with `get_crossborder_flows` directly from your chat sidebar. Your developers can query this tool to see scheduled electricity transfers in real time. This makes it easy to write algorithms that flag transmission limits. This MCP toolset gives your team a clear edge. When combined with `get_transmission_outages`, your team can build predictive routing models. The agent parses the maintenance schedules to show which interconnectors will be offline, allowing you to test how your system handles grid congestion.

Validate market demand with actual load data

Test your demand-response systems against real-world grid stress using `get_actual_load`. Your agent uses this tool along with `get_forecasted_generation` to pull historical and live demand profiles directly into your editor. This lets you verify how your software performs during peak consumption hours. Using real data prevents bugs caused by inaccurate mock assumptions. Your team can run realistic simulation loops, ensuring your production code handles extreme grid imbalances gracefully.

Setup guide

Set up ENTSO-E 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. 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. 2

    Add the ENTSO-E 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. 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. 4

    Verify the connection

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

.vscode/mcp.json
{
  "mcpServers": {
    "entso-e-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ENTSO-E. 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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Common questions about ENTSO-E MCP in VS Code Copilot

You commit a `.vscode/mcp.json` file to the root of your git repository. When team members open the workspace with VS Code 1.96 or higher, the editor automatically registers the tools. This makes onboarding new developers instant.
Yes, the agent can call `get_day_ahead_prices` directly from the chat interface. It retrieves the scheduled market clearing prices for any bidding zone you specify. You can then ask the agent to format this data into JSON or CSV.
The server acts as a direct client to the Transparency Platform. If you hit rate limits, the API returns standard error codes which your agent will display in the chat. For high-volume production testing, we recommend using dedicated test keys.
Yes, each developer should use their own ENTSO-E security token. You can configure these as environment variables on each workstation. The shared configuration file will reference the variable, keeping individual keys out of your git history.
All transmission, load, and generation data queries are processed within a secure V8 isolate sandbox. The raw XML payloads are parsed locally on your machine and never stored externally. This architecture meets strict corporate security requirements, ensuring your market research remains completely confidential.

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