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 Pydantic AI?
Pydantic AI validates every IBGE Agregados (SIDRA) tool response against typed schemas, catching data inconsistencies at build time. Connect 5 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your IBGE Agregados (SIDRA) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your IBGE Agregados (SIDRA) connection logic from agent behavior for testable, maintainable code
IBGE Agregados (SIDRA) in Pydantic AI
IBGE Agregados (SIDRA) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect IBGE Agregados (SIDRA) to Pydantic AI 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 Pydantic AI
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 Pydantic AI 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 Pydantic AI
Every tool call from Pydantic AI 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 Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your IBGE Agregados (SIDRA) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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