OECD Data API MCP Server for Pydantic AI 3 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
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.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your OECD Data API integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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.
Type-safe data pipelines: query OECD Data API with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple OECD Data API tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query OECD Data API and output structured, schema-compliant notifications
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:
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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting OECD Data API to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiOECD Data API + Pydantic AI FAQ
Common questions about integrating OECD Data API MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.
