4,000+ servers built on vurb.ts
Vinkius

IBGE Serviços de Dados MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Get Agregados, Get Calendario, Get Cnae Classe, and more

MCP Inspector GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add IBGE Serviços de Dados 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

The IBGE Serviços de Dados MCP Server for LlamaIndex 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ 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 IBGE Serviços de Dados. "
            "You have 8 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in IBGE Serviços de Dados?"
    )
    print(response)

asyncio.run(main())
IBGE Serviços de Dados
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 IBGE Serviços de Dados MCP Server

Connect to the IBGE (Brazilian Institute of Geography and Statistics) data services and empower your AI agent with official Brazilian socio-economic and geographic data.

LlamaIndex agents combine IBGE Serviços de Dados tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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

  • Statistical Aggregates — Query complex data from various IBGE surveys including inflation, employment, and production metrics.
  • Demographics & Names — Explore the frequency of first names in Brazil based on the 2010 Census, filtered by region or gender.
  • Economic Classifications — Browse the CNAE (National Classification of Economic Activities) to identify business sectors and classes.
  • Geographic Data — Retrieve geographic names from the BNGB and fetch state-level geographic meshes for mapping.
  • Official News — Stay updated with the latest releases, news, and reports from the Agência IBGE Notícias.
  • Release Calendar — Monitor the schedule of upcoming statistical publications and survey results.

The IBGE Serviços de Dados MCP Server exposes 8 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 8 IBGE Serviços de Dados tools available for LlamaIndex

When LlamaIndex connects to IBGE Serviços de Dados through Vinkius, your AI agent gets direct access to every tool listed below — spanning brazil, statistics, geography, 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 agregados on IBGE Serviços de Dados

Obtém o conjunto de agregados do IBGE

get

Get calendario on IBGE Serviços de Dados

Obtém o calendário de divulgações de uma pesquisa

get

Get cnae classe on IBGE Serviços de Dados

Obtém classes CNAE

get

Get malha estado on IBGE Serviços de Dados

Obtém malha geográfica de um estado

get

Get metadados on IBGE Serviços de Dados

Obtém metadados de pesquisas do IBGE

get

Get nome geografico on IBGE Serviços de Dados

Obtém um nome geográfico do BNGB

get

Get nomes frequencia on IBGE Serviços de Dados

Consulta frequência de nomes no Brasil

get

Get noticias on IBGE Serviços de Dados

Consulta notícias e releases do IBGE

Connect IBGE Serviços de Dados to LlamaIndex via MCP

Follow these steps to wire IBGE Serviços de Dados into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 8 tools from IBGE Serviços de Dados

Why Use LlamaIndex with the IBGE Serviços de Dados MCP Server

LlamaIndex provides unique advantages when paired with IBGE Serviços de Dados through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine IBGE Serviços de Dados tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain IBGE Serviços de Dados tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query IBGE Serviços de Dados, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what IBGE Serviços de Dados tools were called, what data was returned, and how it influenced the final answer

IBGE Serviços de Dados + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the IBGE Serviços de Dados MCP Server delivers measurable value.

01

Hybrid search: combine IBGE Serviços de Dados real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query IBGE Serviços de Dados to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying IBGE Serviços de Dados for fresh data

04

Analytical workflows: chain IBGE Serviços de Dados queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for IBGE Serviços de Dados in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with IBGE Serviços de Dados immediately.

01

"What is the frequency of the name 'João' in Brazil according to IBGE?"

02

"Show me the latest news from IBGE about the 'Censo'."

03

"What are the CNAE classes related to code 0111-3?"

Troubleshooting IBGE Serviços de Dados MCP Server with LlamaIndex

Common issues when connecting IBGE Serviços de Dados to LlamaIndex through Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

IBGE Serviços de Dados + LlamaIndex FAQ

Common questions about integrating IBGE Serviços de Dados MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query IBGE Serviços de Dados tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Explore More MCP Servers

View all →