Can I check the carbon intensity in Brazil?

Yes! Use the `get_carbon_intensity` tool with the zone code 'BR'. It will return the latest gCO2eq/kWh for the Brazilian grid.

Electricity Maps Carbon Intelligence MCP Server for CrewAI 3 tools — connect in under 2 minutes

Name: Electricity Maps Carbon Intelligence
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 3 Tools Framework

Connect your CrewAI agents to Electricity Maps Carbon Intelligence through the Vinkius — pass the Edge URL in the `mcps` parameter and every Electricity Maps Carbon Intelligence tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Electricity Maps Carbon Intelligence Specialist",
    goal="Help users interact with Electricity Maps Carbon Intelligence effectively",
    backstory=(
        "You are an expert at leveraging Electricity Maps Carbon Intelligence tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Electricity Maps Carbon Intelligence "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 3 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Electricity Maps Carbon Intelligence becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Electricity Maps Carbon Intelligence tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Electricity Maps Carbon Intelligence MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 3 tools from Electricity Maps Carbon Intelligence

Why Use CrewAI with the Electricity Maps Carbon Intelligence MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Electricity Maps Carbon Intelligence through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Electricity Maps Carbon Intelligence + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Electricity Maps Carbon Intelligence MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Electricity Maps Carbon Intelligence for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Electricity Maps Carbon Intelligence, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Electricity Maps Carbon Intelligence tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Electricity Maps Carbon Intelligence against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Electricity Maps Carbon Intelligence MCP Tools for CrewAI (3)

These 3 tools become available when you connect Electricity Maps Carbon Intelligence to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Electricity Maps Carbon Intelligence to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Electricity Maps Carbon Intelligence + CrewAI FAQ

Common questions about integrating Electricity Maps Carbon Intelligence MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.