Campinas Open Data MCP Server for Pydantic AIGive Pydantic AI instant access to 8 tools to Get Package, Get Resource, List Groups, and more

Name: Campinas Open Data
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 Campinas Open Data through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Campinas Open Data 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

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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 Campinas Open Data "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Campinas Open Data?"
    )
    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 Campinas Open Data MCP Server

Connect to the Campinas Open Data Portal (CKAN) and explore a wealth of public information from one of Brazil's major cities through natural conversation.

Pydantic AI validates every Campinas Open Data 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 — Search for specific packages related to health, education, finance, or transport using keywords.
Metadata Inspection — Retrieve full metadata for datasets and individual resources (files) to understand data structures.
Organizational Mapping — List all city departments and organizations that provide public data.
Thematic Exploration — Browse data by groups (e.g., 'Saúde', 'Educação') or tags to find relevant information quickly.
Resource Access — Get direct links and metadata for CSVs, PDFs, and APIs hosted on the portal.

The Campinas Open Data 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 Campinas Open Data tools available for Pydantic AI

When Pydantic AI connects to Campinas Open Data through Vinkius, your AI agent gets direct access to every tool listed below — spanning campinas, open-data, ckan, 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.

get

Get package on Campinas Open Data

Get full metadata for a specific dataset

get

Get resource on Campinas Open Data

Get metadata for a specific resource

list

List groups on Campinas Open Data

g., Education, Health). List thematic groups

list

List organizations on Campinas Open Data

List organizations providing data

list

List packages on Campinas Open Data

List all dataset names

list

List tags on Campinas Open Data

List all tags used across the portal

Search packages on Campinas Open Data

Search for datasets matching specific criteria

Search resources on Campinas Open Data

g., name:financeiro). Search for resources based on fields

Connect Campinas Open Data to Pydantic AI via MCP

Follow these steps to wire Campinas Open Data 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 Campinas Open Data with type-safe schemas

Why Use Pydantic AI with the Campinas Open Data MCP Server

Pydantic AI provides unique advantages when paired with Campinas Open Data 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 Campinas Open Data integration code

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

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

Campinas Open Data + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Campinas Open Data MCP Server delivers measurable value.

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

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

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

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

Example Prompts for Campinas Open Data in Pydantic AI

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

"Search for datasets about 'educação' in Campinas."

"List all organizations that provide data to the portal."

"Get full metadata for the dataset 'vagas-em-creches'."

Troubleshooting Campinas Open Data MCP Server with Pydantic AI

Common issues when connecting Campinas Open Data to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Campinas Open Data + Pydantic AI FAQ

Common questions about integrating Campinas Open Data 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 Campinas Open Data MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.