How to Use the ENTSO-E MCP in Cursor

Q: How do I configure the ENTSO-E MCP Server inside Cursor?

You add the server details to your project-level .cursor/mcp.json file or your global configuration. Specify the command and your authentication token under the server key. Once saved, enable Agent mode in the chat panel to let the AI call the tools.

Inject live European electricity pricing and grid capacity data directly into your Cursor agent to build data-driven energy applications.

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Connect ENTSO-E MCP to Cursor

Create your Vinkius account to connect ENTSO-E to Cursor 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 ENTSO-E with Cursor

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Generate production code with live Cursor MCP tools

Write energy trading algorithms that use real market figures pulled via `get_day_ahead_prices` instead of hardcoded mock payloads. Your editor uses this and `get_balancing_prices` to pull live market rates straight into your active file. This gives your agent the exact schema and data types it needs to write flawless integration code. No more guessing API structures or reading outdated documentation. Because the editor executes these tools live, your agent writes code that is pre-validated against actual ENTSO-E responses. You get working code on the first run.

Forecast renewable supply variations

Analyze green energy output by querying wind and solar trends directly with `get_wind_solar_forecast`. By using this tool alongside `get_day_ahead_generation`, your agent calculates the expected share of clean energy in the grid for the upcoming day. This lets you write automated logic that triggers when green generation drops. You can also pull `get_actual_generation` to build post-market analysis scripts. That way, you can easily evaluate how accurately weather forecasts mapped to physical generation. This makes the ENTSO-E MCP highly valuable for post-analysis.

Monitor generation capacity limits

Track physical asset availability across different European bidding zones using `get_installed_generation`. Your agent queries this tool to establish baseline capacity before checking `get_generation_outages` for scheduled maintenance. This reveals the actual net capacity available to the grid at any given hour. Having this data directly in your editor makes it simple to test edge cases in your code. You can simulate high-stress grid scenarios with real data, making your trading bots and scheduling tools far more resilient.

Setup guide

Set up ENTSO-E MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the ENTSO-E MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent ENTSO-E transactions." If the MCP tools are loaded correctly, Cursor will call the ENTSO-E tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

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Common questions about ENTSO-E MCP in Cursor

You add the server details to your project-level `.cursor/mcp.json` file or your global configuration. Specify the command and your authentication token under the server key. Once saved, enable Agent mode in the chat panel to let the AI call the tools.

Yes, when you use Agent mode, the editor decides when to invoke tools like `get_actual_load` based on your prompt. It will run the tool, parse the XML response, and use that real-world data to write or debug your code. You do not need to manually trigger the call.

Yes, the server runs as a local subprocess via stdio when configured in your Cursor settings. This keeps all API calls and data processing local to your machine. It allows your agent to seamlessly fetch grid metrics while you write code offline.

All timestamps returned by the tools use the UTC standard in a YYYYMMDDHHmm format. This ensures consistent time-series alignment when you compare metrics from different European bidding zones. Your agent can write helper functions to convert these to local time if needed.

Your API token is only used to authenticate direct HTTPS requests to the Transparency Platform. The server runs in a secure, ephemeral V8 isolate that handles the XML load and generation payloads locally. No third party ever sees your credentials, preserving the confidentiality of your development environment.

Use it with your favorite AI tools

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

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