IBGE Censo & SIDRA — Dados Censitários MCP Server for LangChain 4 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect IBGE Censo & SIDRA — Dados Censitários through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"ibge-censo-sidra-dados-censitarios": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using IBGE Censo & SIDRA — Dados Censitários, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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
About IBGE Censo & SIDRA — Dados Censitários MCP Server
Connect your AI agent to SIDRA — Brazil's most powerful statistical data system, maintained by IBGE since 1940.
LangChain's ecosystem of 500+ components combines seamlessly with IBGE Censo & SIDRA — Dados Censitários through native MCP adapters. Connect 4 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- GDP & Economy — National, state, and municipal GDP data with time series
- Population Census — Demographic data from the latest census with age, sex, race, education breakdowns
- Employment — PNAD labor force survey data by region and sector
- Inflation (IPCA) — Monthly consumer price index with product-level decomposition
- Agriculture — Crop production, livestock, and agricultural census data
The IBGE Censo & SIDRA — Dados Censitários MCP Server exposes 4 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect IBGE Censo & SIDRA — Dados Censitários to LangChain via MCP
Follow these steps to integrate the IBGE Censo & SIDRA — Dados Censitários MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 4 tools from IBGE Censo & SIDRA — Dados Censitários via MCP
Why Use LangChain with the IBGE Censo & SIDRA — Dados Censitários MCP Server
LangChain provides unique advantages when paired with IBGE Censo & SIDRA — Dados Censitários through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine IBGE Censo & SIDRA — Dados Censitários MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across IBGE Censo & SIDRA — Dados Censitários queries for multi-turn workflows
IBGE Censo & SIDRA — Dados Censitários + LangChain Use Cases
Practical scenarios where LangChain combined with the IBGE Censo & SIDRA — Dados Censitários MCP Server delivers measurable value.
RAG with live data: combine IBGE Censo & SIDRA — Dados Censitários tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query IBGE Censo & SIDRA — Dados Censitários, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain IBGE Censo & SIDRA — Dados Censitários tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every IBGE Censo & SIDRA — Dados Censitários tool call, measure latency, and optimize your agent's performance
IBGE Censo & SIDRA — Dados Censitários MCP Tools for LangChain (4)
These 4 tools become available when you connect IBGE Censo & SIDRA — Dados Censitários to LangChain via MCP:
get_agregado_data
Example: aggregate 4714 (IPCA) variable 63 (monthly variation). Levels: N1=Brasil, N2=Região, N3=UF, N6=Município. Get census/survey data from a SIDRA aggregate table
get_agregado_metadados
Get metadata for a SIDRA aggregate
get_agregado_periodos
Get available periods for a SIDRA aggregate
list_agregados
List all SIDRA aggregate tables grouped by survey
Example Prompts for IBGE Censo & SIDRA — Dados Censitários in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with IBGE Censo & SIDRA — Dados Censitários immediately.
"What is the latest IPCA inflation rate in Brazil?"
"What is the GDP of the state of São Paulo?"
"What is the population of Brazil by macro-region?"
Troubleshooting IBGE Censo & SIDRA — Dados Censitários MCP Server with LangChain
Common issues when connecting IBGE Censo & SIDRA — Dados Censitários to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersIBGE Censo & SIDRA — Dados Censitários + LangChain FAQ
Common questions about integrating IBGE Censo & SIDRA — Dados Censitários MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect IBGE Censo & SIDRA — Dados Censitários to LangChain
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.
