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World Bank Economy MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes

Built by Vinkius GDPR 4 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect World Bank Economy through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="World Bank Economy Assistant",
            instructions=(
                "You help users interact with World Bank Economy. "
                "You have access to 4 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from World Bank Economy"
        )
        print(result.final_output)

asyncio.run(main())
World Bank Economy
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About World Bank Economy MCP Server

Empower your AI agent with instant access to the World Bank's economic data.

The OpenAI Agents SDK auto-discovers all 4 tools from World Bank Economy through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries World Bank Economy, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

  • GDP Analytics — Retrieve GDP, GDP per capita, and year-over-year economic growth.
  • Inflation — Track consumer price changes globally.
  • Interest Rates — Monitor real interest rates for any country.

The World Bank Economy MCP Server exposes 4 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect World Bank Economy to OpenAI Agents SDK via MCP

Follow these steps to integrate the World Bank Economy MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 4 tools from World Bank Economy

Why Use OpenAI Agents SDK with the World Bank Economy MCP Server

OpenAI Agents SDK provides unique advantages when paired with World Bank Economy through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

World Bank Economy + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the World Bank Economy MCP Server delivers measurable value.

01

Automated workflows: build agents that query World Bank Economy, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents — one queries World Bank Economy, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through World Bank Economy tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query World Bank Economy to resolve tickets, look up records, and update statuses without human intervention

World Bank Economy MCP Tools for OpenAI Agents SDK (4)

These 4 tools become available when you connect World Bank Economy to OpenAI Agents SDK via MCP:

01

get_economy_indicator

Get any World Bank economy indicator by its code

02

get_gdp

Get Gross Domestic Product (GDP) in current US$

03

get_gdp_growth

Get annual GDP growth percentage

04

get_inflation

Get inflation rate (consumer prices, annual %)

Example Prompts for World Bank Economy in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with World Bank Economy immediately.

01

"What is the GDP of Brazil compared to Argentina over the last 10 years?"

02

"What is the current inflation rate in Turkey?"

03

"Show me the GDP per capita growth trend for South Korea since 1990."

Troubleshooting World Bank Economy MCP Server with OpenAI Agents SDK

Common issues when connecting World Bank Economy to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

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

World Bank Economy + OpenAI Agents SDK FAQ

Common questions about integrating World Bank Economy MCP Server with OpenAI Agents SDK.

01

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.
02

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.
03

Does the SDK support streaming responses?

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

Connect World Bank Economy to OpenAI Agents SDK

Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.