Bring Census Data
to LangChain
Create your Vinkius account to connect IBGE Censo & SIDRA — Dados Censitários to LangChain and start using all 4 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the 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.
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
How it works
- Subscribe — it's free and instant.
- Query any of SIDRA's 10,000+ aggregate tables.
- Filter by geography (Brasil, state, municipality), time period, and variable.
Who is this for?
Economists, journalists, policy researchers, investment analysts, ESG consultants, and data scientists working with Brazilian macroeconomic data.
Built-in capabilities (4)
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 metadata for a SIDRA aggregate
Get available periods for a SIDRA aggregate
List all SIDRA aggregate tables grouped by survey
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine IBGE Censo & SIDRA — Dados Censitários MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across IBGE Censo & SIDRA — Dados Censitários queries for multi-turn workflows
IBGE Censo & SIDRA — Dados Censitários in LangChain
Why run IBGE Censo & SIDRA — Dados Censitários with Vinkius?
The IBGE Censo & SIDRA — Dados Censitários connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 4 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect IBGE Censo & SIDRA — Dados Censitários using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
IBGE Censo & SIDRA — Dados Censitários and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect IBGE Censo & SIDRA — Dados Censitários to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
IBGE Censo & SIDRA — Dados Censitários for LangChain
Every request between LangChain and IBGE Censo & SIDRA — Dados Censitários is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How many aggregate tables are available?
SIDRA contains over 10,000 aggregate tables spanning all IBGE surveys since the 1940s. Each table can be filtered by geographic level (Brazil, region, state, municipality), time period, and dozens of classification variables.
How does LangChain connect to MCP servers?
Use 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?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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