OpenDataSUS MCP Server for Pydantic AIGive Pydantic AI instant access to 8 tools to Datastore Search, Group List, Organization List, and more

Name: OpenDataSUS
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The OpenDataSUS MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 OpenDataSUS "
            "(8 tools)."
        ),
    )

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

asyncio.run(main())

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* 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 OpenDataSUS MCP Server

Connect to the OpenDataSUS portal to explore and analyze Brazilian public health information through natural language. This server interfaces with the CKAN-based API of the Ministry of Health.

Pydantic AI validates every OpenDataSUS tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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 Discovery — List all available datasets, search for specific health topics (like COVID-19 or vaccination), and browse by tags or categories.
Metadata Inspection — Retrieve detailed metadata for packages and individual resources to understand data provenance and structure.
Deep Data Querying — Use the DataStore search to filter and retrieve actual rows from CSV and Excel resources directly into your conversation.
Organizational Browsing — List data providers and organizations to find specific departmental records.

The OpenDataSUS MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 OpenDataSUS tools available for Pydantic AI

When Pydantic AI connects to OpenDataSUS through Vinkius, your AI agent gets direct access to every tool listed below — spanning public-health, brazil-health, dataset-discovery, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

datastore

Datastore search on OpenDataSUS

Search and filter data within a resource

group

Group list on OpenDataSUS

List all groups (categories)

organization

Organization list on OpenDataSUS

List all organizations (data providers)

package

Package list on OpenDataSUS

List all dataset names in the OpenDataSUS portal

package

Package search on OpenDataSUS

Search for datasets matching specific criteria

package

Package show on OpenDataSUS

Get full metadata of a specific dataset

resource

Resource show on OpenDataSUS

Get metadata for a specific resource

tag

Tag list on OpenDataSUS

List all tags used across datasets

Connect OpenDataSUS to Pydantic AI via MCP

Follow these steps to wire OpenDataSUS into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 8 tools from OpenDataSUS with type-safe schemas

Why Use Pydantic AI with the OpenDataSUS MCP Server

Pydantic AI provides unique advantages when paired with OpenDataSUS 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 OpenDataSUS integration code

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

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

OpenDataSUS + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the OpenDataSUS MCP Server delivers measurable value.

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

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

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

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

Example Prompts for OpenDataSUS in Pydantic AI

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

"Search for datasets related to 'vacinacao covid' in OpenDataSUS."

"List all health organizations providing data on the portal."

"Query the first 5 rows of the resource with ID 'd3848184-5077-4667-835d-591d67641bb9'."

Troubleshooting OpenDataSUS MCP Server with Pydantic AI

Common issues when connecting OpenDataSUS to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

OpenDataSUS + Pydantic AI FAQ

Common questions about integrating OpenDataSUS MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

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