# Ember Climate MCP for AI Agents AI Agent Connect

> Ember Climate MCP gives your AI agent direct access to global electricity data from Ember Climate's open energy API. It pulls stats on generation, demand, emissions, and capacity for over 200 countries and regions. Use it to get real-time energy intelligence without manual data scraping or wrestling with messy CSV files. This is the fastest way to get authoritative energy metrics for your reports.

## Overview
- **Category:** the-unthinkable
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_te6N3MGDJcrOQhwwFQtl5axa2SdHuL8y3qa7HxRr/ai-agent-connect
- **Tags:** climate-data, carbon-emissions, electricity-grid, energy-transition, environmental-data, sustainability

## Description

Imagine you're trying to figure out how a specific country is actually decarbonizing its power grid. Usually, that means hunting down multiple PDFs, trying to normalize different units, and spending hours in a spreadsheet just to see if wind power is actually making a dent. This Connector changes that by letting your AI agent do the heavy lifting for you. You can ask about carbon intensity trends, compare the energy mix of several nations at once, or check how many gigawatts of solar capacity were added last month. It turns your AI into a high-level energy analyst that knows the numbers for over 200 regions. Instead of wrestling with CSV files, you just get the answers you need to back up your climate reports or sustainability audits. It's one of the most practical ways to bring high-quality energy intelligence into your daily workflow through the Vinkius catalog. You get the data you need to make informed decisions about the global energy transition without the headache of manual data collection.

## Tools

### get_carbon_intensity_yearly
Retrieve yearly emissions intensity to see how clean a grid is over time. This is perfect for tracking long-term decarbonization.

### get_electricity_demand_monthly
Pull monthly demand data to find seasonal patterns and peak consumption. This is useful for analyzing electricity consumption trends.

### get_electricity_generation_monthly
See monthly energy mix shares for sources like coal, wind, or solar. This is perfect for analyzing renewable intermittency.

### get_carbon_intensity_monthly
Get monthly carbon footprint data for specific countries or regions. This helps you analyze seasonal patterns in grid carbon footprint.

### get_electricity_demand_yearly
Get yearly demand stats to compare per-capita energy usage across nations. This is essential for understanding large-scale energy consumption.

### get_electricity_generation_yearly
Track yearly generation trends to see how fossil fuels are being phased out. This is essential for analyzing energy transition progress.

### get_generation_multi_entity
Compare electricity generation across multiple countries in a single request. This is highly efficient for comparative analysis.

### get_installed_capacity_monthly
Track monthly wind and solar capacity growth for infrastructure tracking. This helps you measure clean energy deployment over time.

### get_api_options
Discover valid country codes, energy sources, and date ranges before you query. This tool helps you find the right filters for your specific request.

### get_power_sector_emissions_monthly
Get monthly CO2 emission trends for power sectors in specific regions. This enables granular tracking of monthly pollution trends.

### get_power_sector_emissions_yearly
Track yearly power sector emissions to monitor national decarbonization progress. This is critical for tracking climate policy effectiveness.

## Prompt Examples

**Prompt:** 
```
Compare the wind and solar generation of Germany and the US for 2023.
```

**Response:** 
```
### 2023 Energy Generation Comparison

| Country | Wind Generation | Solar Generation | Total Share |
| :--- | :--- | :--- | :--- |
| **Germany** | ~350 TWh | ~60 TWh | 40% |
| **United States** | ~300 TWh | ~200 TWh | 25% |

**Key Takeaways:**
* **Germany** shows high wind integration.
* **United States** leads in total solar capacity growth.
* Both nations show double-digit annual growth in renewables.
```

**Prompt:** 
```
What is the carbon intensity of Brazil's grid?
```

**Response:** 
```
The Brazilian electricity grid shows an intensity of approximately **85 gCO2/kWh** in 2023. 

This is significantly lower than the global average primarily due to:
* **Hydropower:** Heavy reliance on hydro provides a low-carbon base.
* **Renewables:** Rapid growth in wind and solar capacity continues to lower the footprint.
```

**Prompt:** 
```
Show me monthly demand in France for 2024.
```

**Response:** 
```
### France Monthly Electricity Demand (2024)

* **January:** 55-60 TWh (Winter peak)
* **July:** 35-40 TWh (Summer low)
* **December:** 55-60 TWh (Winter peak)

**Analysis:** The data reflects strong seasonal variation driven by winter heating requirements versus lower demand during the summer months.
```

## Capabilities

### Track carbon footprints by country
Get monthly or yearly carbon intensity metrics for specific nations.

### Break down electricity by source
See the percentage share of coal, gas, wind, solar, and hydro in any grid.

### Analyze consumption patterns
Pull monthly and yearly electricity demand data to find seasonal trends.

### Monitor power sector emissions
Track CO2 emissions and percentage shares for national power sectors.

### Follow renewable capacity growth
Get monthly updates on wind and solar capacity installations.

### Compare multiple nations simultaneously
Query multiple countries in a single request for comparative analysis.

### Explore available energy filters
Discover valid country codes and energy sources before making queries.

## Use Cases

### Climate Research Analysis
A researcher wants to know if Brazil's grid is getting cleaner. They ask for the carbon intensity and get a breakdown of hydro vs. wind.

### Energy Consulting Reports
An energy consultant wants to compare the energy mix of 5 different countries. They use `get_generation_multi_entity` to see the data in one request.

### Sustainability Audits
A sustainability team wants to benchmark a corporate goal against national averages. They pull `get_power_sector_emissions_monthly` to set a baseline.

### Journalism Fact-Checking
A journalist wants to fact-check a claim about solar growth in Germany. They use `get_installed_capacity_monthly` to get the exact gigawatt numbers.

## Benefits

- Stop manual data scraping. Use `get_carbon_intensity_monthly` to pull regional carbon footprints instantly.
- Compare nations in one go. Use `get_generation_multi_entity` to see how different countries stack up side-by-side.
- Track decarbonization progress. Use `get_power_sector_emissions_yearly` to see the impact of national climate policies.
- Analyze energy mix shifts. Use `get_electricity_generation_monthly` to see how coal, gas, and renewables share the grid.
- Monitor infrastructure growth. Use `get_installed_capacity_monthly` to track new wind and solar capacity installations.
- Identify valid data points. Use `get_api_options` to find the correct country codes and available dates before you query.

## How It Works

The bottom line is you get instant, accurate energy data without the spreadsheet work.

1. Subscribe to the Connector and get your free API key from Ember Climate.
2. Plug that key into your AI client.
3. Ask your agent for specific energy data or multi-country comparisons.

## Frequently Asked Questions

**Can I use the Ember Climate MCP for data on specific countries?**
Yes, it covers over 200 countries and regions, allowing you to pull localized energy data for almost any nation.

**Does Ember Climate MCP include renewable energy stats?**
Yes, it specifically tracks wind and solar capacity growth, making it easy to monitor clean energy deployment.

**Can I compare multiple countries at once with Ember Climate MCP?**
Yes, you can query multiple nations simultaneously to get a side-by-side comparison of their energy mixes or demand.

**Is there a cost for the Ember Climate API key?**
The API key is free to obtain via email signup on the Ember Climate website.

**Can I get monthly carbon intensity with Ember Climate MCP?**
Yes, you can pull monthly carbon intensity data to track seasonal decarbonization progress and grid pollution trends.

**How do I get an Ember Climate API key and how long does it take?**
Simply visit the [Ember Climate API page](https://ember-energy.org/data/api/), enter your email address, and click to request your key. You'll receive it via email almost instantly. It only takes 30 seconds — no OAuth apps to configure, no developer portals to navigate, no complex setup.

**What countries and regions are covered by the Ember electricity dataset?**
The dataset covers over 200 countries and geographical regions worldwide, including individual nations, continents (like Europe), and regional aggregates (like OECD, EU-27). You can use the `get_api_options` tool to discover all available entity codes and country names before querying specific data.

**Can I compare electricity generation across multiple countries in a single query?**
Yes! Use the `get_generation_multi_entity` tool and provide comma-separated ISO country codes in the `entity_code` parameter (e.g., "BRA,DE,US,CHN" for Brazil, Germany, USA, and China). This is highly efficient for comparative energy analysis without making multiple separate API calls.

**What energy sources can I filter by when querying electricity generation?**
You can filter by all major energy sources including fossil fuels (coal, gas, oil), renewables (wind, solar, hydro, bioenergy, geothermal), nuclear, and storage. Use the `series` parameter with values like "coal", "wind", "solar", "hydro", "nuclear", "gas". Call `get_api_options` with filter_name="series" to see the complete list of available energy types for any dataset.