How to Use the World Bank Climate & Energy MCP in OpenAI Agents SDK

Build production climate models with OpenAI Agents SDK.

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Connect World Bank Climate & Energy MCP to OpenAI Agents SDK

Create your Vinkius account to connect World Bank Climate & Energy to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup World Bank Climate & Energy with OpenAI Agents SDK

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Get World Bank Climate & Energy Data via MCP Server

The `get_climate_indicator` tool lets you fetch any specific World Bank indicator by code. Need to check global trends? You just ask for it, and the agent pulls the data. You'll use this alongside tools like `get_co2_emissions` and `get_renewable_energy`. Your AI client handles the connections; you focus on the analysis.

Model Climate Data with OpenAI Agents SDK

The `get_forest_area` tool provides the percentage of land area dedicated to forests. This works great when paired with `get_electricity_access`. It gives you a clear picture of resource management. When building your agent, it passes data points like forest coverage and electrification rates into specialized workflows.

Track Energy Shifts using the MCP Server

Use `get_renewable_energy` to track a country's usage percentage against its total consumption. This function is key for energy transition reports. You can run this alongside `get_co2_emissions` to see where the emissions are coming from relative to green power adoption.

Setup guide

Set up World Bank Climate & Energy MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all World Bank Climate & Energy tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives World Bank Climate & Energy tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate World Bank Climate & Energy tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="World Bank Climate & Energy Agent",
            instructions="You have access to World Bank Climate & Energy tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about World Bank Climate & Energy MCP in OpenAI Agents SDK

The MCP Server exposes five specific tools that your agents auto-discover. You don't write any integration code; you just pass the server endpoint to the Agent constructor.

This MCP Server handles climate indicators, percentages of population (like electricity access), and metric tons per capita (CO2 emissions). The data is structured for easy consumption by your agent.

Absolutely. Your agents can call different tools sequentially—for example, getting both `get_forest_area` and `get_co2_emissions` in a single logical flow. The guardrails ensure the actions are safe.

Yes. Since you're running this through the OpenAI Agents SDK, you get built-in safety constraints and full tracing in the dashboard. It’s designed for deployed products, not just quick tests.

The server provides various quantitative metrics: percentages of land area, percentage of population access, and emissions measured in metric tons per capita.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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