Electricity Maps Carbon Intelligence MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Electricity Maps Carbon Intelligence as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Electricity Maps Carbon Intelligence. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in Electricity Maps Carbon Intelligence?"
)
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 Electricity Maps Carbon Intelligence MCP Server
Equip your AI agent with real-time global energy intelligence through the Electricity Maps MCP server. This integration provides instant access to the carbon intensity of electricity production and the detailed power breakdown (solar, wind, nuclear, coal, etc.) for over 100 countries and regions. Your agent can retrieve the exact gCO2eq/kWh for specific zones and monitor the renewable percentage of the grid. Whether you are optimizing server workloads for sustainability, auditing corporate emissions, or researching global energy transitions, your agent acts as a dedicated energy analyst through natural conversation.
LlamaIndex agents combine Electricity Maps Carbon Intelligence tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through the 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
- Carbon Intensity Monitoring — Get real-time carbon intensity data for specific countries or regions.
- Power Mix Breakdown — Fetch the detailed mix of energy sources currently powering a specific grid.
- Sustainability Auditing — Compare the environmental impact of electricity across different geographical zones.
- Renewable Tracking — Identify the current percentage of renewable energy in the production mix.
The Electricity Maps Carbon Intelligence MCP Server exposes 3 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 Electricity Maps Carbon Intelligence to LlamaIndex via MCP
Follow these steps to integrate the Electricity Maps Carbon Intelligence 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 3 tools from Electricity Maps Carbon Intelligence
Why Use LlamaIndex with the Electricity Maps Carbon Intelligence MCP Server
LlamaIndex provides unique advantages when paired with Electricity Maps Carbon Intelligence through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Electricity Maps Carbon Intelligence tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Electricity Maps Carbon Intelligence tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Electricity Maps Carbon Intelligence, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Electricity Maps Carbon Intelligence tools were called, what data was returned, and how it influenced the final answer
Electricity Maps Carbon Intelligence + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Electricity Maps Carbon Intelligence MCP Server delivers measurable value.
Hybrid search: combine Electricity Maps Carbon Intelligence real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Electricity Maps Carbon Intelligence 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 Electricity Maps Carbon Intelligence for fresh data
Analytical workflows: chain Electricity Maps Carbon Intelligence queries with LlamaIndex's data connectors to build multi-source analytical reports
Electricity Maps Carbon Intelligence MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect Electricity Maps Carbon Intelligence to LlamaIndex via MCP:
get_carbon_intensity
g., DE, FR, US-CA). Get current carbon intensity for a zone
get_power_production_breakdown
) currently powering a specific zone. Get power production breakdown for a zone
list_energy_zones
List all available energy zones
Example Prompts for Electricity Maps Carbon Intelligence in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Electricity Maps Carbon Intelligence immediately.
"What is the energy mix in France right now?"
Troubleshooting Electricity Maps Carbon Intelligence MCP Server with LlamaIndex
Common issues when connecting Electricity Maps Carbon Intelligence to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpElectricity Maps Carbon Intelligence + LlamaIndex FAQ
Common questions about integrating Electricity Maps Carbon Intelligence 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 Electricity Maps Carbon Intelligence 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 Electricity Maps Carbon Intelligence to LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.