How to Use the World Bank Labor & Trade MCP in OpenAI Agents SDK
Run global labor, trade, and economic analysis reliably with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect World Bank Labor & Trade MCP to OpenAI Agents SDK
Create your Vinkius account to connect World Bank Labor & Trade 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.
Analyze Export Data
Use `get_exports` to pull data on goods and services exports as a percentage of GDP. This function gives you the current global export figures, allowing your agent to quantify trade activity immediately. It reports the percentage contribution of exports to a country's Gross Domestic Product (GDP). Your production agents can use this metric to quickly benchmark international commodity performance against historical data.
Check Unemployment Rates
The `get_unemployment_rate` tool fetches the total unemployment rate as a percentage of the labor force. This is critical for assessing immediate labor market health, letting your agents spot potential economic dips or upticks. It gives you one key metric: the percentage of people actively seeking work who can't find it. Your AI client uses this to build safety-constrained reports on global employment trends.
Get Foreign Investment Status
You call `get_fdi` to get net Foreign Direct Investment inflows as a percentage of GDP. This metric shows how much capital is flowing into the economy, which is always important for long-term planning. The tool returns FDI data that helps determine if an investment environment is stable or risky. Passing this information through your agent allows it to perform multi-step financial analysis.
Set up World Bank Labor & Trade MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all World Bank Labor & Trade tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives World Bank Labor & Trade 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 Labor & Trade tools and returns structured results. Copy the full example on the right to get started.
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 Labor & Trade Agent",
instructions="You have access to World Bank Labor & Trade tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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.
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Common questions about World Bank Labor & Trade MCP in OpenAI Agents SDK
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