How to Use the IBGE Censo & SIDRA — Dados Censitários MCP in LlamaIndex

Q: Can I filter the tools available to my LlamaIndex agents?

Yes. You can restrict access to specific tools like getagregadodata to control how your agent interacts with the SIDRA API.

Ground your LlamaIndex knowledge bases in official Brazilian statistics with the IBGE Censo & SIDRA — Dados Censitários MCP server.

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Connect IBGE Censo & SIDRA — Dados Censitários MCP to LlamaIndex

Create your Vinkius account to connect IBGE Censo & SIDRA — Dados Censitários to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup IBGE Censo & SIDRA — Dados Censitários with LlamaIndex

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Index official census data into your knowledge base

Use `get_agregado_metadados` to retrieve schema details that LlamaIndex can parse and store. This makes your vector search results more accurate by including official definitions. Your RAG application becomes a source of truth for Brazilian demographics. You no longer rely on general training data when you can ground your index in specific, current SIDRA tables.

Query historical trends with semantic search

Fetch data via `get_agregado_data` and inject the results into your vector store. Your index now contains live economic figures rather than stale snapshots. This workflow allows you to ask questions about population or employment trends and receive answers backed by official government data. It bridges the gap between static documents and dynamic statistics.

Automate data discovery for your agents

Deploy `list_agregados` to populate your index with available datasets. Your agent can then reason about which tables to consult for specific research questions. It removes the guesswork from finding the right data. By indexing the metadata, you allow your LlamaIndex agents to navigate the vast SIDRA ecosystem autonomously.

Setup guide

Set up IBGE Censo & SIDRA — Dados Censitários MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all IBGE Censo & SIDRA — Dados Censitários MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to IBGE Censo & SIDRA — Dados Censitários tools.",
)
response = await agent.run("List recent IBGE Censo & SIDRA — Dados Censitários data")

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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. 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 Censo & SIDRA — Dados Censitários MCP in LlamaIndex

You connect the server via the MCP client spec and pass the tool definitions to your FunctionAgent. This allows your index to query the API during the retrieval phase.

Yes. You can trigger these tools to fetch fresh values and update your vector store, ensuring your knowledge base remains current with the latest releases.

The server provides access to various census and survey aggregates, including GDP and inflation figures, which you can index for semantic querying.

Yes. You can restrict access to specific tools like `get_agregado_data` to control how your agent interacts with the SIDRA API.

Communication remains encrypted through the MCP protocol. The server only fetches public statistical data and does not touch your private documents or user-specific records.

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