ENTSO-E MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ENTSO-E as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to ENTSO-E. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in ENTSO-E?"
)
print(response)
asyncio.run(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.
LlamaIndex agents combine ENTSO-E tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the ENTSO-E MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from ENTSO-E
Why Use LlamaIndex with the ENTSO-E MCP Server
LlamaIndex provides unique advantages when paired with ENTSO-E through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ENTSO-E tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ENTSO-E tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ENTSO-E, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ENTSO-E tools were called, what data was returned, and how it influenced the final answer
ENTSO-E + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ENTSO-E MCP Server delivers measurable value.
Hybrid search: combine ENTSO-E real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ENTSO-E to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ENTSO-E for fresh data
Analytical workflows: chain ENTSO-E queries with LlamaIndex's data connectors to build multi-source analytical reports
ENTSO-E MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect ENTSO-E to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting ENTSO-E to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpENTSO-E + LlamaIndex FAQ
Common questions about integrating ENTSO-E MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.