Electricity Maps Carbon Intelligence MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Electricity Maps Carbon Intelligence through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Electricity Maps Carbon Intelligence Assistant",
instructions=(
"You help users interact with Electricity Maps Carbon Intelligence. "
"You have access to 3 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Electricity Maps Carbon Intelligence"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 3 tools from Electricity Maps Carbon Intelligence through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Electricity Maps Carbon Intelligence, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Electricity Maps Carbon Intelligence MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 3 tools from Electricity Maps Carbon Intelligence
Why Use OpenAI Agents SDK with the Electricity Maps Carbon Intelligence MCP Server
OpenAI Agents SDK provides unique advantages when paired with Electricity Maps Carbon Intelligence through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Electricity Maps Carbon Intelligence + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Electricity Maps Carbon Intelligence MCP Server delivers measurable value.
Automated workflows: build agents that query Electricity Maps Carbon Intelligence, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Electricity Maps Carbon Intelligence, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Electricity Maps Carbon Intelligence tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Electricity Maps Carbon Intelligence to resolve tickets, look up records, and update statuses without human intervention
Electricity Maps Carbon Intelligence MCP Tools for OpenAI Agents SDK (3)
These 3 tools become available when you connect Electricity Maps Carbon Intelligence to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Electricity Maps Carbon Intelligence to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Electricity Maps Carbon Intelligence + OpenAI Agents SDK FAQ
Common questions about integrating Electricity Maps Carbon Intelligence MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.