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OECD Data API MCP Server for Pydantic AI 3 tools — connect in under 2 minutes

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Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect OECD Data API through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to OECD Data API "
            "(3 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in OECD Data API?"
    )
    print(result.data)

asyncio.run(main())
OECD Data API
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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.

Pydantic AI validates every OECD Data API tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the OECD Data API MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 3 tools from OECD Data API with type-safe schemas

Why Use Pydantic AI with the OECD Data API MCP Server

Pydantic AI provides unique advantages when paired with OECD Data API through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your OECD Data API integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your OECD Data API connection logic from agent behavior for testable, maintainable code

OECD Data API + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the OECD Data API MCP Server delivers measurable value.

01

Type-safe data pipelines: query OECD Data API with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple OECD Data API tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query OECD Data API and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock OECD Data API responses and write comprehensive agent tests

OECD Data API MCP Tools for Pydantic AI (3)

These 3 tools become available when you connect OECD Data API to Pydantic AI via MCP:

01

check_api_status

Check if the OECD Data service is operational

02

get_oecd_dataset

Get specific economic or social data from an OECD dataset ID

03

list_oecd_dataflows

List all available dataflows and datasets in the OECD catalog

Example Prompts for OECD Data API in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with OECD Data API immediately.

01

"Get quarterly national accounts (QNA) data from OECD."

02

"List all available dataflows in the OECD catalog."

03

"What are the latest observations for the 'CPI' dataset in the OECD?"

Troubleshooting OECD Data API MCP Server with Pydantic AI

Common issues when connecting OECD Data API to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

OECD Data API + Pydantic AI FAQ

Common questions about integrating OECD Data API MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your OECD Data API MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect OECD Data API to Pydantic AI

Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.