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OpenAI Agents SDK
Why use Ember Climate MCP Server with OpenAI Agents SDK?

Bring Climate Data
to OpenAI Agents SDK

Create your Vinkius account to connect Ember Climate to OpenAI Agents SDK and start using all 11 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Get Api OptionsGet Carbon Intensity MonthlyGet Carbon Intensity YearlyGet Electricity Demand MonthlyGet Electricity Demand YearlyGet Electricity Generation MonthlyGet Electricity Generation YearlyGet Generation Multi EntityGet Installed Capacity MonthlyGet Power Sector Emissions MonthlyGet Power Sector Emissions Yearly
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Ember Climate

What is the Ember Climate MCP Server?

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

  1. Subscribe to this server
  2. Enter your Ember Climate API Key (free, obtained via email signup)
  3. 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

Built-in capabilities (11)

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_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_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

Why OpenAI Agents SDK?

The OpenAI Agents SDK auto-discovers all 11 tools from Ember Climate through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Ember Climate, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

  • 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

O
See it in action

Ember Climate in OpenAI Agents SDK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Ember Climate with Vinkius?

The Ember Climate connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 11 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

View full Ember Climate details →
Ember Climate
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Ember Climate using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Ember Climate and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Ember Climate to OpenAI Agents SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Ember Climate for OpenAI Agents SDK

Every request between OpenAI Agents SDK and Ember Climate is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I get an Ember Climate API key and how long does it take?

Simply visit the Ember Climate API page, 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.

02

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.

03

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.

04

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.

05

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

06

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

07

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

08

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

09

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

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