Pydantic AISDK

São Paulo (Cidade) MCP Server

Bring Open Data
to Pydantic AI

Name: São Paulo (Cidade) MCP Server
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

Learn how to connect São Paulo (Cidade) to Pydantic AI and start using 11 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 SearchDatastore Search SqlGet GroupGet OrganizationGet PackageGet ResourceList GroupsList OrganizationsList PackagesList TagsSearch Packages

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 São Paulo (Cidade) MCP Server?

Connect your AI agent directly to the São Paulo City Open Data Portal (CKAN). This server allows you to navigate thousands of public datasets covering health, education, transport, and finance in Brazil's largest city.

What you can do

Dataset Discovery — Search for specific datasets using keywords or list all available packages in the portal.
Granular Inspection — Fetch detailed metadata for datasets and individual resources (files) to understand data structures.
Advanced Data Querying — Perform searches within data stores or execute complex SQL queries directly on CSV-backed resources.
Organizational Mapping — List and inspect city secretariats (organizations) and thematic groups to find relevant data sources.
Tag Exploration — Browse datasets by tags to discover related public information across different departments.

How it works

Subscribe to this server
(Optional) Provide your São Paulo Open Data API Key for higher rate limits
Start querying city data from Claude, Cursor, or any MCP-compatible client

Who is this for?

Data Analysts & Researchers — quickly find and query public statistics without manual downloads
Developers — integrate real-time city data into applications using SQL-like queries
Journalists & Citizens — audit public spending and city performance through natural language conversation

Built-in capabilities (11)

datastore_search

Search data within a resource

datastore_search_sql

SQL Query on a resource

get_group

Get group details

get_organization

Get organization details

get_package

Get dataset details

get_resource

Get resource details

list_groups

g., Educação, Meio Ambiente). List groups (themes)

list_organizations

g., Secretarias) that own datasets. List organizations

list_packages

List all datasets (packages) in the portal

list_tags

List tags

search_packages

Search datasets

Why Pydantic AI?

Pydantic AI validates every São Paulo (Cidade) tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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 São Paulo (Cidade) integration code
—
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
—
Dependency injection system cleanly separates your São Paulo (Cidade) connection logic from agent behavior for testable, maintainable code

See it in action

São Paulo (Cidade) in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

São Paulo (Cidade) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect São Paulo (Cidade) 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 São Paulo (Cidade) in Pydantic AI

The São Paulo (Cidade) 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 11 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 São Paulo (Cidade) 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
São Paulo (Cidade) for Pydantic AI

Every tool call from Pydantic AI to the São Paulo (Cidade) 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 datasets related to a specific topic like 'Health'?

You can use the search_packages tool with the query 'saúde'. The agent will return a list of matching datasets available in the portal.

Can I perform SQL queries on the data directly?

Yes! If a resource is stored in the DataStore, you can use the datastore_search_sql tool to run standard SQL queries against the resource ID.

How do I find which city departments have published data?

Use the list_organizations tool to see all registered entities. Then, use get_organization with a specific ID to see all datasets owned by that department.

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 São Paulo (Cidade) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.