ENTSO-E MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ENTSO-E through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"entso-e": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ENTSO-E Agent",
instructions:
"You help users interact with ENTSO-E " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ENTSO-E?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ENTSO-E MCP Server
Connect your ENTSO-E Transparency Platform API to any AI agent and take full control of European electricity market data, generation forecasts, pricing analysis, and grid monitoring through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and ENTSO-E tool infrastructure. Connect 12 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Day-Ahead Generation — Get generation forecasts by energy source (nuclear, fossil, renewable) for any bidding zone
- Actual Generation — Retrieve historical generation data broken down by energy source
- Load Forecasts — Access day-ahead and actual electricity consumption data
- Market Prices — Get day-ahead electricity market clearing prices (EUR/MWh)
- Crossborder Flows — Monitor scheduled electricity imports and exports between zones
- Generation Outages — Track planned and unplanned power plant outages
- Transmission Outages — Monitor grid maintenance and line outages
- Installed Capacity — Track installed generation capacity by energy source
- Balancing Prices — Access upward and downward regulation prices
- Wind & Solar Forecasts — Get renewable energy generation forecasts
The ENTSO-E MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ENTSO-E to Mastra AI via MCP
Follow these steps to integrate the ENTSO-E MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 12 tools from ENTSO-E via MCP
Why Use Mastra AI with the ENTSO-E MCP Server
Mastra AI provides unique advantages when paired with ENTSO-E through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add ENTSO-E without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every ENTSO-E tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
ENTSO-E + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ENTSO-E MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ENTSO-E, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ENTSO-E as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ENTSO-E on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ENTSO-E tools alongside other MCP servers
ENTSO-E MCP Tools for Mastra AI (12)
These 12 tools become available when you connect ENTSO-E to Mastra AI via MCP:
get_actual_generation
) for a specific bidding zone. Essential for post-market analysis, renewable energy performance tracking, and grid balance analysis. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get actual electricity generation data by energy source for a European bidding zone
get_actual_load
Essential for demand analysis, peak demand identification, and load forecasting validation. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get actual electricity load data for a European bidding zone
get_balancing_prices
Essential for imbalance cost analysis, balancing market participation, and grid stability assessment. Area codes are ENTSO-E control area identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get balancing market prices for a control area
get_crossborder_flows
Essential for interconnection analysis, cross-border trading, and grid congestion assessment. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get scheduled cross-border electricity flows for a bidding zone
get_day_ahead_generation
) for a specific European bidding zone. Data is provided in MW per time period (typically hourly). Essential for energy trading, grid planning, and renewable energy integration analysis. Area codes are ENTSO-E bidding zone identifiers (e.g., "10YDE-RWENET---I" for Germany, "10YFR-RTE------C" for France). Date format: YYYYMMDDHHmm in UTC. Returns XML data from the Transparency Platform. Get day-ahead electricity generation forecasts for a European bidding zone
get_day_ahead_load
Essential for energy trading, demand response planning, and grid balancing. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get day-ahead electricity load forecasts for a European bidding zone
get_day_ahead_prices
Essential for energy trading, price forecasting, and market analysis. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get day-ahead electricity market prices for a European bidding zone
get_forecasted_generation
Essential for energy market analysis, supply-demand balancing, and grid operation planning. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get total generation and load forecasts for a bidding zone
get_generation_outages
Essential for supply security assessment, capacity planning, and market impact analysis. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get generation outage and maintenance schedules for a bidding zone
get_installed_generation
) for a specific bidding zone. Essential for capacity adequacy analysis, energy transition tracking, and infrastructure planning. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get installed generation capacity by energy source for a bidding zone
get_transmission_outages
Essential for grid congestion analysis, capacity calculation, and market impact assessment. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get transmission network outage and maintenance schedules
get_wind_solar_forecast
Essential for renewable energy integration analysis, grid balancing, and energy trading. Area codes are ENTSO-E bidding zone identifiers. Date format: YYYYMMDDHHmm in UTC. Returns XML data. Get wind and solar power generation forecasts for a bidding zone
Example Prompts for ENTSO-E in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with ENTSO-E immediately.
"Show me day-ahead electricity prices for Germany tomorrow."
"What is the wind and solar forecast for France today?"
"Show me generation outages in Germany this week."
Troubleshooting ENTSO-E MCP Server with Mastra AI
Common issues when connecting ENTSO-E to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpENTSO-E + Mastra AI FAQ
Common questions about integrating ENTSO-E MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect ENTSO-E with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ENTSO-E to Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.