How to Use the ENTSO-E MCP in Mastra AI

Q: How do I add the ENTSO-E MCP server to Mastra AI?

Install @mastra/mcp. Create a new MCPClient instance and point the URL to your Vinkius endpoint. Call listTools() to expose the grid functions to your workflow.

Q: Do I need human approval for ENTSO-E market trades in Mastra AI?

You control the execution flow. Set the requireToolApproval flag on the pricing tools. The workflow will pause and wait for your confirmation before acting on the data.

Q: Which tools track grid congestion in this MCP integration?

The server includes gettransmissionoutages and getcrossborderflows. Your agents use these endpoints to identify physical bottlenecks between European bidding zones.

Build resilient power market workflows using Mastra AI and this ENTSO-E MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ENTSO-E MCP to Mastra AI

Create your Vinkius account to connect ENTSO-E to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup ENTSO-E with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate Renewable Forecasts

The `get_wind_solar_forecast` tool extracts renewable energy generation predictions for specific bidding zones. Mastra AI executes this tool inside your automated workflow to baseline expected power output. If the ENTSO-E endpoint times out, the framework's built-in exponential backoff automatically retries the request. You link this data with `get_forecasted_generation` to calculate total expected supply versus pure renewables. The agent evaluates the XML response and decides the next step in the chain. If the wind forecast drops suddenly, your workflow branches off to alert the trading desk.

Route Around Transmission Outages

The `get_generation_outages` tool pulls the exact maintenance schedules for power plants across Europe. You pass the YYYYMMDDHHmm UTC timestamp and the area code to check for offline capacity. Mastra AI takes this raw XML data and feeds it into your conditional logic engine. Your agent checks `get_installed_generation` to understand what percentage of total capacity is currently dead. If the outage exceeds a specific megawatt threshold, the workflow triggers a notification protocol. You build resilient, multi-step grid monitoring that survives intermittent API failures.

Trigger Workflows via Mastra AI

The `get_day_ahead_load` tool fetches tomorrow's expected electricity demand for your target control area. Your Mastra AI agent pulls this via the MCP Server to build daily consumption models. You don't write the integration code; you just spread the tools into your agent definition. Pairing this with `get_day_ahead_prices` lets your system autonomously calculate expected market costs. If the logic dictates a high-risk trading scenario, you can force the workflow to pause. The requireToolApproval flag ensures a human reviews the pricing data before the agent executes the next step.

Setup guide

Set up ENTSO-E MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All ENTSO-E tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "entso-e-mcp-client",
  servers: {
    "entso-e-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "ENTSO-E Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to ENTSO-E tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent ENTSO-E transactions"
);
console.log(result.text);

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect ENTSO-E now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ENTSO-E MCP in Mastra AI

Install `@mastra/mcp`. Create a new `MCPClient` instance and point the URL to your Vinkius endpoint. Call `listTools()` to expose the grid functions to your workflow.

Yes. The framework includes built-in exponential backoff. If the Transparency Platform drops your connection during a load forecast request, the system automatically attempts the call again.

You control the execution flow. Set the `requireToolApproval` flag on the pricing tools. The workflow will pause and wait for your confirmation before acting on the data.

The server includes `get_transmission_outages` and `get_crossborder_flows`. Your agents use these endpoints to identify physical bottlenecks between European bidding zones.

No. The integration operates statelessly. Your Mastra AI workflow receives the raw XML generation data, and the server instantly forgets the transaction. You hold the only copy of the retrieved market metrics.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript