Minas Gerais (Estado) MCP Server for LlamaIndexGive LlamaIndex 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

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Minas Gerais (Estado) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

Open in ChatGPT Open in Claude Open in Perplexity

The Minas Gerais (Estado) MCP Server for LlamaIndex 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

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Minas Gerais (Estado). "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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

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.

LlamaIndex agents combine Minas Gerais (Estado) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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)

Why Use LlamaIndex with the Minas Gerais (Estado) MCP Server

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

Data-first architecture: LlamaIndex agents combine Minas Gerais (Estado) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Minas Gerais (Estado) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Minas Gerais (Estado), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Minas Gerais (Estado) tools were called, what data was returned, and how it influenced the final answer

Minas Gerais (Estado) + LlamaIndex Use Cases

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

Hybrid search: combine Minas Gerais (Estado) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Minas Gerais (Estado) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Minas Gerais (Estado) for fresh data

Analytical workflows: chain Minas Gerais (Estado) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Minas Gerais (Estado) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Minas Gerais (Estado) + LlamaIndex FAQ

Common questions about integrating Minas Gerais (Estado) MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Minas Gerais (Estado) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.