How to Use the IBGE Agregados (SIDRA) MCP in LangChain

Q: How do I configure the IBGE Agregados (SIDRA) MCP Server in my LangChain project?

Install the packages with pip install langchain-mcp-adapters langgraph. Then, initialize MultiServerMCPClient with the Vinkius endpoint URL and pass the tools directly to your agent.

Q: Can LangChain agents automatically handle geographic hierarchies from IBGE Agregados (SIDRA)?

Yes. Your agent can call getlocalidades to check which geographic levels exist for a table before requesting data. This chain of thought prevents invalid queries.

Run Brazilian data pipelines directly in LangChain using this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect IBGE Agregados (SIDRA) MCP to LangChain

Create your Vinkius account to connect IBGE Agregados (SIDRA) 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.

GDPR Free for Subscribers

Setup IBGE Agregados (SIDRA) with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Discover IBGE Aggregates with LangChain

The `list_agregados` tool allows your agent to search and filter official Brazilian surveys and tables. It serves as the entry point for locating specific datasets without hardcoding table IDs. You can feed these search results directly into downstream steps of your chain. This lets your agent dynamically discover what data is available before querying deeper layers.

Inspect Metadata and Variables

The `get_metadados` tool retrieves structural information for any selected table, while `get_variaveis` extracts the specific metrics and indicators available. Your agent uses these tools to understand the schema of the statistical data before executing a run. By feeding this structural info into a LangChain prompt, your chain builds precise queries. It avoids mismatches and handles localized data definitions on the fly.

Map Geographic Levels and Time Periods

The `get_localidades` tool finds the geographic divisions available for an aggregate, and `get_periodos` fetches the corresponding years or months. These tools constrain your queries to valid parameters. LangChain agents can map these geographic levels to ensure spatial queries match IBGE's exact administrative boundaries. This prevents empty API returns and API errors.

Setup guide

Set up IBGE Agregados (SIDRA) 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 Agregados (SIDRA) 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-agregados-sidra-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 Agregados (SIDRA) transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect IBGE Agregados (SIDRA) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about IBGE Agregados (SIDRA) MCP in LangChain

Install the packages with `pip install langchain-mcp-adapters langgraph`. Then, initialize `MultiServerMCPClient` with the Vinkius endpoint URL and pass the tools directly to your agent.

Yes. Your agent can call `get_localidades` to check which geographic levels exist for a table before requesting data. This chain of thought prevents invalid queries.

The Vinkius infrastructure manages the connection to the IBGE API. If your chain makes heavy sequential calls, Vinkius handles the underlying transport and authentication.

Absolutely. Since this is an MCP server, you can combine its output with database tools or vector stores in the same multi-step chain.

Yes. Vinkius runs the server in an ephemeral V8 Isolate Sandbox. Your census and demographic queries are processed on the fly and never stored on our servers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript