How to Use the World Bank Economy MCP in OpenAI Agents SDK

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Connect World Bank Economy MCP to OpenAI Agents SDK

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

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Run Economic Checks via MCP Server

Need to check a country's financial health? You can use `get_gdp` to grab current US$ Gross Domestic Product for any nation. The agent handles the connection, so you just get clean data back. This tool also runs `get_inflation`, giving you the annual consumer price percentage. It makes validating economic assumptions part of your deployed product.

Monitor Growth Trajectories

`get_gdp_growth` gives you the yearly percentage change in GDP, which is critical for trend analysis. You'll get that number right alongside `get_economy_indicator` to build out comparison reports. It keeps things simple; your agents auto-discover this toolset and validate calls before anything runs. This means fewer busted production cycles.

Build Data Pipelines with MCP Server

If you need specific data, `get_economy_indicator` lets you query any World Bank metric using its code. It’s a catch-all for the stuff that doesn't fit neatly into growth or inflation. Plus, when combined with `get_gdp`, your system can pull multiple economic metrics in one go. The tracing dashboard shows exactly which calls succeeded and why.

Setup guide

Set up World Bank Economy 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 Economy tools at runtime.
3

Create your Agent

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

You pass the MCP Server instance directly to your Agent constructor. Your agents auto-discover all available tools, including `get_gdp` and `get_inflation`. You don't need any extra setup code.

Yes. The system is designed for production agents that require stability. It uses built-in guardrails to validate agent actions, ensuring you don't get unexpected API responses when checking indicators.

It provides key metrics like GDP in current US$, annual inflation rates, and overall economic indicators via `get_economy_indicator`. It’s all structured for easy consumption by your agent workflows.

Since the MCP Server exposes tools, you treat it like any other external service. Your agents call the toolset directly, which makes it straightforward to include in a larger application architecture.

The server handles structured economic indicator data, including percentage rates and currency values for GDP. This is public financial metric data.

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