How to Use the IBGE Full Access — Dados Brasileiros MCP in LangChain

Run multi-step Brazilian demographic chains in LangChain using official census and CNAE economy data.

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Connect IBGE Full Access — Dados Brasileiros MCP to LangChain

Create your Vinkius account to connect IBGE Full Access — Dados Brasileiros to LangChain 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 Full Access — Dados Brasileiros with LangChain

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Claude

Perplexity

Build census chains with LangChain

`get_agregado_data` serves as the foundation for your demographic reasoning chains. Your LangChain agent queries official SIDRA tables, pulls specific census variables, and pipes those metrics directly into downstream calculation nodes without manual data-wrangling. You configure the agent to check state codes with `list_estados` before running the aggregate query. This multi-step execution path prevents invalid API requests and keeps your LangSmith traces clean of runtime errors.

Trace Brazilian economic data in your MCP Server chains

`get_subclasse_cnae` retrieves specific Brazilian economic classification codes to feed your market analysis chains. Your LangChain agent resolves complex corporate sector lookups by mapping raw input text to official classifications using `list_secoes_cnae` first. The framework passes these structured classifications directly to your LLM prompts. Because Vinkius manages this MCP Server, your agent executes these multi-tool sequences with sub-second latency, letting you trace every single step inside LangSmith.

Feed real-time IBGE news to your chains

`get_noticias_ibge` pulls the latest official announcements directly into your agentic workflow. The LangChain agent reads the news feed, isolates relevant economic events, and triggers follow-up queries using `list_pesquisas` to verify historical context. This setup lets you build autonomous monitoring loops. Your chain checks for new indicators, maps them to specific geographic regions with `get_municipio`, and logs the entire decision path in your terminal.

Setup guide

Set up IBGE Full Access — Dados Brasileiros MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes IBGE Full Access — Dados Brasileiros tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "ibge-full-access-dados-brasileiros-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent IBGE Full Access — Dados Brasileiros transactions"
    })
    print(result["messages"][-1].content)

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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 Full Access — Dados Brasileiros MCP in LangChain

Install langchain-mcp-adapters and langgraph via pip. Initialize the MultiServerMCPClient with the Vinkius connection URL, then fetch the tools using client.get_tools() to pass them to your agent.

Yes, the agent uses ReAct loops to chain these tools together. For example, it can call list_estados to find a state code, then feed that code into get_municipios_por_uf to map specific regional data.

LangSmith traces every tool call made by the MCP Server client. You get full visibility into the exact payload sent to get_agregado_data and the raw JSON response returned by the Brazilian government API.

LangChain clients are stateless by default, but you can use client.session() to maintain persistent context. This keeps your agent's geographic lookups consistent when querying multiple tables via get_resultados_pesquisa.

Vinkius runs the server in a zero-trust, sandboxed V8 Isolate environment. Your queries for demographic data, economic classifications, and regional statistics never persist on the host, ensuring your market research remains completely private.

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