OECD Data API MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect OECD Data API through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="OECD Data API Assistant",
instructions=(
"You help users interact with OECD Data API. "
"You have access to 3 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from OECD Data API"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About OECD Data API MCP Server
Empower your AI agent to orchestrate your entire macroeconomic research and policy auditing workflow with the OECD Data API, the authoritative source for global social and economic indicators. By connecting the OECD SDMX-JSON service to your agent, you transform complex statistical searches into a natural conversation. Your agent can instantly retrieve historical datasets, audit regional economic trends, and query specific dataflows without you ever touching a data portal. Whether you are conducting international market research or managing regional policy constraints, your agent acts as a real-time data analyst, ensuring your intelligence is always verified and precise.
The OpenAI Agents SDK auto-discovers all 3 tools from OECD Data API through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries OECD Data API, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Dataset Auditing — Retrieve high-resolution statistical data for thousands of OECD identifiers and maintain a clear view of global economic changes.
- Indicator Oversight — Audit historical social and fiscal indicators to understand the longitudinal distribution of economic scale instantly.
- Dataflow Discovery — Browse all available dataflows in the OECD catalog to identify relevant thematic markers for your research.
- Macro Intelligence — Retrieve unique dataset identifiers and observation metadata to assist in deep-dive archival classification.
- Operational Monitoring — Check API status to ensure your economic research workflow is always operational.
The OECD Data API MCP Server exposes 3 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 OECD Data API to OpenAI Agents SDK via MCP
Follow these steps to integrate the OECD Data API MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 3 tools from OECD Data API
Why Use OpenAI Agents SDK with the OECD Data API MCP Server
OpenAI Agents SDK provides unique advantages when paired with OECD Data API through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
OECD Data API + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the OECD Data API MCP Server delivers measurable value.
Automated workflows: build agents that query OECD Data API, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries OECD Data API, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through OECD Data API tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query OECD Data API to resolve tickets, look up records, and update statuses without human intervention
OECD Data API MCP Tools for OpenAI Agents SDK (3)
These 3 tools become available when you connect OECD Data API to OpenAI Agents SDK via MCP:
check_api_status
Check if the OECD Data service is operational
get_oecd_dataset
Get specific economic or social data from an OECD dataset ID
list_oecd_dataflows
List all available dataflows and datasets in the OECD catalog
Example Prompts for OECD Data API in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with OECD Data API immediately.
"Get quarterly national accounts (QNA) data from OECD."
"List all available dataflows in the OECD catalog."
"What are the latest observations for the 'CPI' dataset in the OECD?"
Troubleshooting OECD Data API MCP Server with OpenAI Agents SDK
Common issues when connecting OECD Data API to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
OECD Data API + OpenAI Agents SDK FAQ
Common questions about integrating OECD Data API MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect OECD Data API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect OECD Data API to OpenAI Agents SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.