Minas Gerais (Estado) MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Get Group, Get Organization, Get Package, and more

Name: Minas Gerais (Estado)
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 Minas Gerais (Estado) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Minas Gerais (Estado) MCP Server for Pydantic AI is a standout in the Data Management category — giving your AI agent 10 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 Minas Gerais (Estado) "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

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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

About Minas Gerais (Estado) MCP Server

Connect to the Minas Gerais State Open Data Portal to explore a vast repository of public information. This server allows AI agents to programmatically browse, search, and retrieve metadata from one of Brazil's most comprehensive transparency portals.

Pydantic AI validates every Minas Gerais (Estado) tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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 packages or search for specific datasets related to health, education, or finance using list_packages and search_packages.
Organizational Insights — Explore the structure of the state government by listing departments and viewing their specific datasets via list_organizations and get_organization.
Resource Access — Identify specific files (CSV, PDF, XLS) within datasets and retrieve their metadata using get_resource and search_resources.
Categorized Browsing — Navigate data through thematic groups (categories) or tags to find exactly what you need with list_groups and list_tags.

The Minas Gerais (Estado) MCP Server exposes 10 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 10 Minas Gerais (Estado) tools available for Pydantic AI

When Pydantic AI connects to Minas Gerais (Estado) through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, transparency, public-records, 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 group on Minas Gerais (Estado)

Get details and datasets of a group

get

Get organization on Minas Gerais (Estado)

Get details and datasets of an organization

get

Get package on Minas Gerais (Estado)

Get full metadata of a specific dataset

get

Get resource on Minas Gerais (Estado)

Get metadata of a specific resource (file)

list

List groups on Minas Gerais (Estado)

List all groups (categories)

list

List organizations on Minas Gerais (Estado)

List all organizations

list

List packages on Minas Gerais (Estado)

List all dataset names in the portal

list

List tags on Minas Gerais (Estado)

List all tags used in the portal

Search packages on Minas Gerais (Estado)

Search for datasets matching specific criteria

Search resources on Minas Gerais (Estado)

Search for resources matching a query

Connect Minas Gerais (Estado) to Pydantic AI via MCP

Follow these steps to wire Minas Gerais (Estado) 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 10 tools from Minas Gerais (Estado) with type-safe schemas

Why Use Pydantic AI with the Minas Gerais (Estado) MCP Server

Pydantic AI provides unique advantages when paired with Minas Gerais (Estado) 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 Minas Gerais (Estado) integration code

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

Dependency injection system cleanly separates your Minas Gerais (Estado) connection logic from agent behavior for testable, maintainable code

Minas Gerais (Estado) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Minas Gerais (Estado) MCP Server delivers measurable value.

Type-safe data pipelines: query Minas Gerais (Estado) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Minas Gerais (Estado) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Minas Gerais (Estado) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Minas Gerais (Estado) responses and write comprehensive agent tests

Example Prompts for Minas Gerais (Estado) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Minas Gerais (Estado) immediately.

"Search for datasets related to 'educação' in the Minas Gerais portal."

"List all organizations available in the portal."

"Get the metadata for the dataset 'planejamento-e-monitoramento'."

Troubleshooting Minas Gerais (Estado) MCP Server with Pydantic AI

Common issues when connecting Minas Gerais (Estado) to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Minas Gerais (Estado) + Pydantic AI FAQ

Common questions about integrating Minas Gerais (Estado) 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 Minas Gerais (Estado) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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