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

Q: What's the best way to calculate World Bank Population indicators using the OpenAI Agents SDK?

You should use getsocialindicator for maximum coverage. It accepts any specific indicator code, giving you far more options than just poverty or growth rates. The agent validates these inputs before making a call.

Build reliable agents that analyze global demographics using the OpenAI Agents SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect World Bank Population MCP to OpenAI Agents SDK

Create your Vinkius account to connect World Bank Population 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.

GDPR Free for Subscribers

Setup World Bank Population with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Assess total population size

Need a quick count? You call `get_total_population`, and your agent gets the current worldwide figure right away. This is useful when you need to anchor another calculation, like estimating market size. It’s simple. Your specialized agent reads the output and passes that number along for subsequent calculations in your production flow.

Check global inequality metrics

If you want to know about wealth distribution, use `get_gini_index`. This tool gives you the Gini index score, which is a direct measure of social and economic inequality. You can then compare this against historical data points. Your agent doesn't just read the number; it interprets what that score means for global development planning.

Track demographic trends

To see how fast a population is changing, run `get_population_growth`. This tool returns the annual growth percentage, letting you spot rapid changes in demographics. It's critical data for infrastructure planning. Alternatively, `get_social_indicator` lets your agent pull any specific World Bank statistic by code, giving massive flexibility.

Setup guide

Set up World Bank Population 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 Population tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives World Bank Population 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 Population 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 Population Agent",
            instructions="You have access to World Bank Population tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by World Bank Open Data. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect World Bank Population now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about World Bank Population MCP in OpenAI Agents SDK

The SDK allows agents to chain multiple tool calls. For instance, an agent can first call `get_total_population` and then use that resulting number in conjunction with a poverty metric from `get_poverty`. The system manages the handoff between these specialized actions.

You should use `get_social_indicator` for maximum coverage. It accepts any specific indicator code, giving you far more options than just poverty or growth rates. The agent validates these inputs before making a call.

Absolutely. Since this is designed for building deployed products, it includes guardrails that validate every action taken by your specialized agents. You're not dealing with prototypes; you're running reliable systems.

Yes. The tools cover total population counts, poverty headcount ratios (at 15 a day), growth percentages, and specific inequality indexes like the Gini coefficient. You can mix and match these metrics.

This server handles aggregate demographic statistics. Specifically, it deals with total population counts, poverty headcount ratios (a measured quantity), and various social indicator values.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript