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.

Ember Climate MCP Connector for Claude

A+

Access global electricity data — generation, demand, emissions, and capacity from Ember Climate's open energy API.

11 tools Official Updated Jun 28, 2026 Official Vinkius Partner

More Details Connect to Claude

Connect your AI agents to Ember Climate's open electricity dataset and gain instant access to global energy intelligence covering over 200 countries and regions.

What you can do

Carbon Intensity Analysis — Track yearly and monthly carbon footprint (gCO2/kWh) of electricity grids worldwide
Generation by Source — Break down electricity production by energy type: coal, gas, nuclear, wind, solar, hydro, and more
Demand Trends — Analyze electricity consumption patterns in TWh with per-capita metrics across nations
Power Sector Emissions — Monitor CO2 emissions from the power sector in megatonnes and percentage shares
Renewable Capacity Tracking — Follow monthly wind and solar capacity installations in GW to measure clean energy deployment
Multi-Country Comparison — Query multiple nations simultaneously using comma-separated country codes for comparative analysis
Filter Discovery — Explore available entities, energy sources, and date ranges dynamically before making targeted queries

How it works

Subscribe to this server
Enter your Ember Climate API Key (free, obtained via email signup)
Start querying global electricity data from Claude, Cursor, or any MCP-compatible client

No more manual CSV downloads or spreadsheet wrangling. Your AI becomes an instant energy analyst, capable of answering complex questions about the global energy transition in seconds.

Who is this for?

Climate Researchers — instantly retrieve emissions data and grid carbon intensity trends without writing data pipelines
Energy Consultants — compare generation mixes across countries and track renewable adoption rates programmatically
Sustainability Teams — monitor power sector decarbonization progress and contextualize corporate ESG goals against national benchmarks
Policy Makers & Journalists — fact-check energy claims with authoritative data from over 200 geographies on demand

climate-datacarbon-emissionselectricity-gridenergy-transitionenvironmental-datasustainability

11 tools expose this connector's capabilities to your AI agent.

get_carbon_intensity_monthly

Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY-MM (e.g., "2023-01", "2024-12"). This helps analyze seasonal patterns in grid carbon footprint and track monthly decarbonization progress. Get monthly carbon intensity of electricity generation for countries/regions

get_carbon_intensity_yearly

Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY (e.g., "2020", "2023"). Returns emissions intensity data showing how clean or polluting the electricity grid is over time. Get yearly carbon intensity of electricity generation for countries/regions

get_electricity_demand_monthly

Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY-MM (e.g., "2023-01", "2024-12"). Useful for analyzing seasonal demand patterns, peak consumption periods, and demand forecasting. Get monthly electricity demand data for countries/regions

get_electricity_demand_yearly

Use entity or entity_code to specify countries (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY (e.g., "2020", "2023"). Essential for understanding energy consumption trends and comparing per-capita usage across nations. Get yearly electricity demand data for countries/regions

get_electricity_generation_monthly

). Returns generation in TWh and percentage share of total generation for each source. Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY-MM (e.g., "2023-01", "2024-12"). Use series to filter by specific energy sources (e.g., "coal", "wind", "solar", "hydro", "nuclear", "gas"). Perfect for analyzing seasonal generation patterns, renewable intermittency, and monthly energy mix changes. Get monthly electricity generation by source for countries/regions

get_electricity_generation_yearly

). Returns generation in TWh and percentage share of total generation for each source. Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY (e.g., "2020", "2023"). Use series to filter by specific energy sources (e.g., "coal", "wind", "solar", "hydro", "nuclear", "gas"). Essential for analyzing energy transition, renewable adoption, and fossil fuel phase-out progress. Get yearly electricity generation by source for countries/regions

get_generation_multi_entity

g., "BRA,DE,US" for Brazil, Germany, and United States). Use start_date and end_date with format YYYY for yearly or YYYY-MM for monthly data. Use series to filter by energy source (e.g., "coal", "wind", "solar", "hydro", "nuclear", "gas"). This is highly efficient for comparative analysis across multiple nations without making separate API calls. Example: entity_code="BRA,DE,US,CHN,IND" to compare BRICS+ nations energy generation. Get electricity generation data for multiple countries simultaneously

get_installed_capacity_monthly

Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY-MM (e.g., "2023-01", "2024-12"). Use series to filter by capacity type (e.g., "wind", "solar"). Tracks renewable infrastructure deployment and capacity growth over time across different nations. Get monthly installed power capacity (wind and solar) for countries

get_api_options

Use dataset (e.g., "electricity-generation"), temporal_resolution (e.g., "monthly", "yearly"), and filter_name (e.g., "entity", "series", "entity_code", "date", "year"). This tool is useful for discovering valid country codes, energy source types, and available date ranges before making specific data queries. Get available filter options for Ember electricity datasets

get_power_sector_emissions_monthly

Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY-MM (e.g., "2023-01", "2024-12"). Use series parameter to filter by emission types (e.g., "co2"). Enables granular tracking of monthly emission trends and seasonal variations in power sector pollution. Get monthly power sector CO2 emissions for countries/regions

get_power_sector_emissions_yearly

Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY (e.g., "2020", "2023"). Use series parameter to filter by emission types (e.g., "co2"). Critical for tracking national decarbonization progress and climate policy effectiveness. Get yearly power sector CO2 emissions for countries/regions

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