How to Use the IBGE Agregados (SIDRA) MCP in Pydantic AI

Q: How do I initialize the IBGE Agregados (SIDRA) MCP Server in Pydantic AI?

Just run pip install "pydantic-ai-slimmcp" and load MCPToolset with your Vinkius URL. Pass it into your Agent constructor's toolsets argument. That covers it.

Q: Can I use Pydantic AI to filter specific periods from IBGE Agregados (SIDRA)?

Yes, your agent can call getperiodos to fetch the available timeframes for an aggregate. You can define a Pydantic model to enforce that the returned years match your application's expected date ranges.

Fetch type-safe IBGE Agregados (SIDRA) census and economic data with runtime validation in Pydantic AI.

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Setup IBGE Agregados (SIDRA) with Pydantic AI

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Validate table schemas using `get_metadados`

The `get_metadados` tool pulls structural metadata for any IBGE table, which `get_variaveis` and `get_periodos` supplement with variable lists and temporal boundaries. Your agent uses these tools to build strict runtime schemas for incoming data. Pydantic AI validates every single field returned by these MCP tools against your Python models. If IBGE alters its metadata format, the agent fails instantly and loudly instead of processing corrupted schemas.

Discover datasets with `list_agregados`

The `list_agregados` tool searches the active directory of IBGE statistical surveys and tables. Your agent runs this to discover new datasets based on specific keywords or themes. Parsing the output directly into typed Pydantic models guarantees high-fidelity data ingestion. This ensures your agent never processes malformed table lists or invalid aggregate IDs during the discovery phase.

Resolve regional boundaries with this Pydantic AI MCP Server

The `get_localidades` tool retrieves the geographic levels and administrative divisions for a specific table. Your agent queries this to verify if data is available at the municipality, state, or national level. This geographic check runs against your defined type constraints. It guarantees that any regional code your agent passes to subsequent analysis tools is formatted correctly and exists in the IBGE database.

Setup guide

Set up IBGE Agregados (SIDRA) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "ibge-agregados-sidra-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to IBGE Agregados (SIDRA) tools.",
)

result = await agent.run("List recent IBGE Agregados (SIDRA) transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IBGE Agregados (SIDRA). All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about IBGE Agregados (SIDRA) MCP in Pydantic AI

Just run `pip install "pydantic-ai-slim[mcp]"` and load `MCPToolset` with your Vinkius URL. Pass it into your Agent constructor's `toolsets` argument. That covers it.

The framework will raise a validation error immediately. Because every tool response is validated against Pydantic models at runtime, you are protected from silent data corruption.

Yes, your agent can call `get_periodos` to fetch the available timeframes for an aggregate. You can define a Pydantic model to enforce that the returned years match your application's expected date ranges.

Yes, the MCP integration handles async calls natively. Your agent can query metadata with `get_metadados` and `get_localidades` concurrently without blocking your main event loop.

All communication with the IBGE SIDRA API is routed through Vinkius's secure V8 isolates. Your API tokens are managed at the platform level, and your statistical queries are never logged or stored.

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