# ElectricityMap MCP for AI Agents AI Agent Connect

> ElectricityMap MCP gives your AI agent real-time access to global power grid data. It pulls carbon intensity, energy source breakdowns, and 24-hour forecasts for over 200 regions worldwide. Use it to check how green the grid is in a specific zone or to plan energy-heavy tasks for when renewables are peaking.

## Overview
- **Category:** data-analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_bRSjwdkotEV2QaLFMmVMdtmMeKdeuslL9oSbyjJQ/ai-agent-connect
- **Tags:** carbon-tracking, sustainability, renewable-energy, grid-monitoring, green-it

## Description

Connect to ElectricityMap to give your AI agent a clear view of the global power grid. Instead of relying on vague regional averages, you can get the exact carbon intensity for specific zones or GPS coordinates in real time. This is a game changer for anyone trying to move beyond vague claims and into actual, data-driven sustainability. You can see the precise mix of solar, wind, nuclear, and fossil fuels powering a region at any moment. If you are planning heavy workloads, you can pull 24-hour forecasts to identify the cleanest windows for energy-intensive tasks. It also handles historical queries, making it easy to audit past carbon footprints or analyze how a grid's behavior changes over time. Since it is hosted on Vinkius, you can plug this into your existing AI workflow without worrying about the underlying API complexity. It turns your agent into a tool for real-time grid transparency, helping you make smarter decisions about how and when you use energy.

## Tools

### get_carbon_intensity_forecast
Get forecasted carbon intensity for a zone. Use this to plan energy-intensive tasks during green peaks.

### get_carbon_intensity_history
Get historical carbon intensity for a zone. This is useful for auditing past carbon footprints over time.

### get_marginal_carbon_intensity_latest
Get the latest marginal carbon intensity. This provides data on the carbon cost of the next unit of power.

### get_power_breakdown_forecast
Get forecasted power breakdown for a zone. See how the mix of solar, wind, and other sources will change.

### get_power_breakdown_history
Get historical power breakdown for a zone. Analyze how energy production sources have shifted in the past.

### get_power_breakdown_latest
Get latest power breakdown for a zone. See the current percentage of solar, wind, and nuclear production.

### get_carbon_intensity_latest
Get the current carbon intensity for a specific zone. This helps you see the immediate carbon footprint of a region.

### list_zones
List all available zones. Use this to find the correct geographical metadata for your queries.

## Prompt Examples

**Prompt:** 
```
What is the current carbon intensity in France?
```

**Response:** 
```
I've checked the latest data for France. Here is the current grid status:

| Metric | Value |
| :--- | :--- |
| **Carbon Intensity** | 45 gCO2eq/kWh |
| **Primary Sources** | Nuclear, Wind |

The current intensity is quite low, making it a good window for energy-intensive tasks.
```

**Prompt:** 
```
Show me the power breakdown for zone DK-DK1 right now.
```

**Response:** 
```
The power breakdown for zone **DK-DK1** currently shows:

*   **Wind:** 65%
*   **Solar:** 15%
*   **Biomass & Imports:** 20%

The grid is currently heavily supported by wind power.
```

**Prompt:** 
```
What is the forecasted carbon intensity for Germany for the next 4 hours?
```

**Response:** 
```
The forecast for Germany shows a significant drop in carbon intensity as solar production ramps up:

*   **Hour 1:** 350 gCO2eq/kWh
*   **Hour 2:** 320 gCO2eq/kWh
*   **Hour 3:** 290 gCO2eq/kWh
*   **Hour 4:** 280 gCO2eq/kWh

Carbon intensity is expected to drop by approximately 20% over the next 4 hours.
```

## Capabilities

### Get real-time carbon intensity
Fetch the current carbon footprint in gCO2eq/kWh for any specific zone.

### See energy source breakdowns
View the exact percentage of solar, wind, and nuclear power in a region.

### Pull 24-hour energy forecasts
Identify the cleanest windows for high-energy tasks based on predicted grid data.

### Analyze historical grid behavior
Query past data to audit carbon footprints or analyze grid trends over time.

### Identify supported global zones
List all geographical zones to ensure you are pulling data for the correct location.

## Use Cases

### Automating corporate carbon reports
A sustainability officer asks the agent to report the monthly carbon footprint of their German offices. The agent uses get_carbon_intensity_history to provide a summary.

### Scheduling green batch jobs
A dev wants to run a large batch of training jobs in France. They ask the agent to find the cleanest 4-hour window based on forecasts.

### Analyzing regional renewable progress
A researcher wants to see if a region is actually hitting its renewable targets. They ask for the current power breakdown for that zone.

### Real-time grid footprint checking
A user asks their agent to check the current carbon intensity in Spain to see if the grid is powered by wind right now.

## Benefits

- Automate carbon reporting for global offices by pulling live intensity data with get_carbon_intensity_latest.
- Schedule heavy compute jobs during green peaks using get_carbon_intensity_forecast to save on emissions.
- Audit historical energy usage across different regions using get_carbon_intensity_history for compliance.
- Visualize the transition to renewables by checking the current mix with get_power_breakdown_latest.
- Identify precise data locations for any city or coordinate by using list_zones before running queries.

## How It Works

The bottom line is you get real-time, data-driven grid transparency for any region in your workflow.

1. Subscribe to the ElectricityMap MCP and add your API key to your settings.
2. Connect your AI client like Claude or Cursor to the Vinkius platform.
3. Ask your agent for specific grid data, like the current carbon footprint of a city.

## Frequently Asked Questions

**How can I use ElectricityMap MCP to track corporate carbon emissions?**
You can use it to pull real-time and historical carbon intensity data for your various office locations. This allows your AI agent to generate accurate, data-driven reports for your sustainability audits.

**Does ElectricityMap MCP show real-time wind and solar data?**
Yes, it provides a detailed breakdown of current energy sources. You can see exactly what percentage of the grid is being powered by renewables like wind and solar at any moment.

**Can I use ElectricityMap MCP to find the cleanest time for data processing?**
Absolutely. By using the forecasting tools, your agent can identify windows where carbon intensity is lowest, allowing you to schedule heavy compute jobs during the cleanest hours.

**Does ElectricityMap MCP cover my specific region?**
It covers over 200 regions worldwide. You can ask your agent to list all supported zones to find the specific geographical area or coordinates you need to monitor.

**How does ElectricityMap MCP help with sustainability reporting?**
It replaces manual estimation with live data. You can query historical trends to see how your carbon footprint has changed over time or get live stats to monitor your current impact.

**Can I get historical carbon data with ElectricityMap MCP?**
Yes, you can query past data to audit your carbon footprint. This is perfect for creating year-over-year comparisons or analyzing how grid behavior shifted during specific events.

**Can I check the carbon intensity for a specific city using coordinates?**
Yes. Tools like `get_carbon_intensity_latest` and `get_power_breakdown_latest` accept `lat` and `lon` parameters to automatically identify the correct grid zone for that location.

**How do I find the correct zone identifier for a country?**
You can use the `list_zones` tool. It returns a complete list of all supported zones (like 'US-CA' for California or 'FR' for France) along with their metadata.

**Does this server provide forecasts for future energy production?**
Yes, you can use `get_carbon_intensity_forecast` and `get_power_breakdown_forecast` to retrieve predicted data for the next 24 hours.