Pydantic AISDK

OpenDataSUS MCP Server

Bring Public Health
to Pydantic AI

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

Learn how to connect OpenDataSUS to Pydantic AI and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Datastore SearchGroup ListOrganization ListPackage ListPackage SearchPackage ShowResource ShowTag List

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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.

How it works

Subscribe to this server
(Optional) Enter your OpenDataSUS API Key for higher rate limits
Start querying Brazilian health data from Claude, Cursor, or any MCP client

Who is this for?

Data Scientists & Researchers — quickly find and sample epidemiological data without manual downloads
Public Health Analysts — monitor health indicators and dataset updates through simple queries
Developers — integrate official Brazilian health data into applications and dashboards with ease

Built-in capabilities (8)

datastore_search

Search and filter data within a resource

group_list

List all groups (categories)

organization_list

List all organizations (data providers)

package_list

List all dataset names in the OpenDataSUS portal

package_search

Search for datasets matching specific criteria

package_show

Get full metadata of a specific dataset

resource_show

Get metadata for a specific resource

tag_list

List all tags used across datasets

Why Pydantic AI?

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.

—
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

See it in action

OpenDataSUS in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

OpenDataSUS and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect OpenDataSUS to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for OpenDataSUS in Pydantic AI

The OpenDataSUS 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full OpenDataSUS details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures
OpenDataSUS for Pydantic AI

Every tool call from Pydantic AI to the OpenDataSUS MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How can I search for specific rows inside a large CSV dataset?

You can use the datastore_search tool. Provide the resource_id and use the q parameter for full-text search or the filters parameter to target specific columns.

Can I find which organizations provide the most datasets?

Yes! Use the organization_list tool to see all data providers registered in the OpenDataSUS portal.

How do I get the download link for a specific data file?

Use the resource_show tool with the Resource UUID. It will return the metadata including the URL where the file is hosted.

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.