How to Use the Asian Development Bank MCP in OpenAI Agents SDK
Build production-ready economic agents that pull verified Asia-Pacific data using the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Asian Development Bank MCP to OpenAI Agents SDK
Create your Vinkius account to connect Asian Development Bank 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.
Direct Asian Development Bank MCP Server queries
The `query_adb_indicators` tool connects your OpenAI agent directly to ADB dataflows. You pass specific IDs like ADB,EO_NA for GDP or ADB,EO_BOP for trade statistics. Built-in guardrails validate these API calls before execution. Your production system catches malformed economy codes before they hit the external endpoint, keeping your agent loops stable.
Track inflation across major economies
Calling `get_inflation_asia` pulls consumer price inflation rates for key markets including PRC, JPN, and IND. Agents hand this raw data off to specialized analysis nodes within your network. Tracing through the OpenAI dashboard shows exactly when the model requested the CPI numbers. Developers see the exact payload returned by Vinkius, making debugging a straightforward process.
Pull GDP figures on demand
Getting accurate gross domestic product numbers happens through the `get_gdp_asia` function. It supports economy codes like KOR, INO, THA, VIE, and PHI right out of the box. Setting `cacheToolsList=True` during your initialization speeds up the discovery phase. Cold starts become much faster when agents need to fetch economic metrics immediately.
Set up Asian Development Bank 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 Asian Development Bank tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Asian Development Bank tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Asian Development Bank 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="Asian Development Bank Agent",
instructions="You have access to Asian Development Bank 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 Asian Development Bank. 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 Asian Development Bank MCP in OpenAI Agents SDK
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