Minas Gerais (Estado) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK 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

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Minas Gerais (Estado) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Minas Gerais (Estado) MCP Server for OpenAI Agents SDK 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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VS Code

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+ other MCP clients

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Minas Gerais (Estado) Assistant",
            instructions=(
                "You help users interact with Minas Gerais (Estado). "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Minas Gerais (Estado)"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

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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

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.

The OpenAI Agents SDK auto-discovers all 10 tools from Minas Gerais (Estado) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Minas Gerais (Estado), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to wire Minas Gerais (Estado) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Minas Gerais (Estado)

Why Use OpenAI Agents SDK with the Minas Gerais (Estado) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Minas Gerais (Estado) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Minas Gerais (Estado) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Minas Gerais (Estado) MCP Server delivers measurable value.

Automated workflows: build agents that query Minas Gerais (Estado), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Minas Gerais (Estado), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Minas Gerais (Estado) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Minas Gerais (Estado) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Minas Gerais (Estado) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Minas Gerais (Estado) to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Minas Gerais (Estado) + OpenAI Agents SDK FAQ

Common questions about integrating Minas Gerais (Estado) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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