How to Use the World Bank Full Access MCP in OpenAI Agents SDK

Build complex economic models for the OpenAI Agents SDK.

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Connect World Bank Full Access MCP to OpenAI Agents SDK

Create your Vinkius account to connect World Bank Full Access 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 Full Access with OpenAI Agents SDK

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Perplexity

Analyze global economic indicators.

The `get_gdp` tool retrieves current US$ Gross Domestic Product (GDP), letting your agents quantify a country's overall market size. You can pair this with the `get_gdp_growth` function to model historical trends and calculate compound annual growth rates for economic forecasting. It's useful for benchmarking. Just plug in different countries or regions, and your agent handles fetching all the necessary data points.

Track social and health development using MCP Server.

Use `get_life_expectancy` to pull mortality statistics at birth, giving you a baseline for public health reports. Complementing this is `get_infant_mortality`, which pinpoints severe issues in basic care. Together, these tools let your agent build detailed human development profiles.

Model resource allocation and sustainability.

The `get_renewable_energy` tool tracks consumption percentages, while `get_co2_emissions` gives you per capita metrics. These two data streams let your agent calculate emissions intensity ratios for sustainability reports. It's a powerful way to compare energy transitions across different global economies.

Setup guide

Set up World Bank Full Access 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 Full Access tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives World Bank Full Access 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 Full Access 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 Full Access Agent",
            instructions="You have access to World Bank Full Access 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 Full Access MCP in OpenAI Agents SDK

The agent auto-discovers all 30 tools in the World Bank Full Access MCP Server. You don't need to write specific function calls; you just tell your agent what analysis you want, and it figures out which tool to use.

Absolutely. You can chain together diverse metrics—like fetching `get_fdi` (Foreign Direct Investment) and then comparing it against `get_exports`. The agent manages that entire workflow for you.

This server handles a massive scope, including economic indicators (GDP, FDI), demographic statistics (Population Growth, Literacy Rate), and environmental metrics (CO2 Emissions). The agent treats all of it as structured data.

Yes. Since the tools are auto-discovered and run within a secure Vinkius MCP Server, your agent interacts only through validated tool calls. You get stable access to the entire catalog.

The framework is designed for reliability. While it's a robust connection, you always know that the agent uses specific tools like `get_gini_index` which return defined percentages or indices.

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