Compatible with every major AI agent and IDE
What is the IBGE Agregados (SIDRA) MCP Server?
Connect to the IBGE SIDRA (System for Automatic Recovery) database and explore Brazil's official statistical aggregates through natural language. This server provides a direct interface to the most comprehensive source of Brazilian demographic and economic data.
What you can do
- Survey Discovery — List and filter IBGE aggregates (tables) by subject, period, or classification to find exactly the data you need.
- Metadata Inspection — Retrieve detailed metadata for specific tables to understand the context and methodology of the data.
- Variable Analysis — Identify all available variables within an aggregate to prepare precise data queries.
- Temporal Coverage — Check available time periods for any survey to build historical series or snapshots.
- Geographic Granularity — Discover which territorial levels (National, State, City, etc.) are available for specific datasets.
How it works
- Subscribe to this server
- No complex API keys are required for this public data service
- Start querying Brazilian statistics directly from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Scientists & Analysts — quickly locate specific tables and variables for economic or social modeling.
- Researchers & Academics — access official census and survey metadata without navigating complex web portals.
- Developers — integrate official Brazilian statistics into applications with ease.
Built-in capabilities (5)
Get available geographic levels for an aggregate
Get metadata for a specific aggregate
Get available time periods for an aggregate
Get variables for a specific aggregate
Allows multidimensional filtering. List IBGE aggregates (surveys/tables)
Why CrewAI?
When paired with CrewAI, IBGE Agregados (SIDRA) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call IBGE Agregados (SIDRA) 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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
IBGE Agregados (SIDRA) in CrewAI
IBGE Agregados (SIDRA) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect IBGE Agregados (SIDRA) 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for IBGE Agregados (SIDRA) in CrewAI
The IBGE Agregados (SIDRA) 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 5 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.

* 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
How Vinkius secures
IBGE Agregados (SIDRA) for CrewAI
Every tool call from CrewAI to the IBGE Agregados (SIDRA) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I find specific surveys related to a topic like 'Employment'?
Use the list_agregados tool and provide a keyword in the assunto parameter. The agent will return a list of all relevant aggregate tables and their IDs.
Can I see which years or months are available for a specific table ID?
Yes! By using the get_periodos tool with the specific Aggregate ID, you can retrieve all available time intervals for that dataset.
How do I know if a table has data at the city level (municípios)?
Run the get_localidades tool for the target Aggregate ID. It will list all supported geographic levels, such as 'Brasil', 'Unidade da Federação', or 'Município'.
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.
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.
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.
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.
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.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
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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