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IBGE Serviços de Dados MCP Server

Bring Brazil
to CrewAI

Learn how to connect IBGE Serviços de Dados to CrewAI and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Get AgregadosGet CalendarioGet Cnae ClasseGet Malha EstadoGet MetadadosGet Nome GeograficoGet Nomes FrequenciaGet Noticias

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
IBGE Serviços de Dados

What is the 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.

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.

How it works

  1. Subscribe to this server
  2. No complex authentication is required for public data access
  3. Start querying official Brazilian data from Claude, Cursor, or any MCP client

Who is this for?

  • Data Analysts — quickly fetch official time-series and aggregates for Brazilian economic indicators
  • Developers — integrate official CNAE classifications and geographic identifiers into business applications
  • Researchers — access demographic trends and census data through natural language queries

Built-in capabilities (8)

get_agregados

Obtém o conjunto de agregados do IBGE

get_calendario

Obtém o calendário de divulgações de uma pesquisa

get_cnae_classe

Obtém classes CNAE

get_malha_estado

Obtém malha geográfica de um estado

get_metadados

Obtém metadados de pesquisas do IBGE

get_nome_geografico

Obtém um nome geográfico do BNGB

get_nomes_frequencia

Consulta frequência de nomes no Brasil

get_noticias

Consulta notícias e releases do IBGE

Why CrewAI?

When paired with CrewAI, IBGE Serviços de Dados becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call IBGE Serviços de Dados tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

  • Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

  • CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the mcps parameter and agents auto-discover every available tool at runtime

  • Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

  • Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

See it in action

IBGE Serviços de Dados in CrewAI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

IBGE Serviços de Dados and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect IBGE Serviços de Dados to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for IBGE Serviços de Dados in CrewAI

The IBGE Serviços de Dados 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

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

The Vinkius Advantage

How Vinkius secures IBGE Serviços de Dados for CrewAI

Every tool call from CrewAI to the IBGE Serviços de Dados MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I check the popularity of a specific name in Brazil over time?

Yes! Use the get_nomes_frequencia tool with a name. It returns the frequency of births per decade based on the 2010 Census data.

02

How do I find out when the next inflation data (IPCA) will be released?

You can use the get_calendario tool and provide 'IPCA' as the survey name. It will return the scheduled dates for upcoming publications.

03

Is it possible to search for IBGE news by specific keywords?

Yes, the get_noticias tool includes a busca parameter. You can filter official news and releases by any term, such as 'PIB' or 'Censo'.

04

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

05

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

06

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

07

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

08

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

09

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

10

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

11

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

12

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

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