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

Q: How do I filter specific tools from IBGE Full Access — Dados Brasileiros in LlamaIndex?

Use the allowedtools filter when initializing your McpToolSpec. You can expose only geographic tools like listestados and getmunicipiosporuf while hiding economic tools.

Index Brazilian demographic and economic data directly into LlamaIndex vector stores for RAG applications.

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Connect IBGE Full Access — Dados Brasileiros MCP to LlamaIndex

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

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Index SIDRA aggregates into LlamaIndex

`get_agregado_data` extracts official Brazilian census data directly into your document indexes. LlamaIndex takes this raw statistical payload, formats it as structured nodes, and stores it in your vector database for semantic search. This process eliminates hallucination when your agent answers complex demographic questions. Instead of guessing population metrics, the agent queries the index containing fresh data retrieved via `get_agregado_metadados`.

Build economic RAG with this MCP Server

`get_subclasse_cnae` parses Brazilian economic classifications to ground your financial search pipelines. LlamaIndex indexes these industry codes alongside `list_secoes_cnae` to create a searchable business intelligence index. Your query engine matches user questions about business sectors to the exact government classifications. The MCP Server supplies the structured data, while LlamaIndex handles the semantic retrieval and synthesis.

Ground agent responses in official municipal data

`get_resultados_pesquisa` fetches local survey metrics to enrich your vector indices. The LlamaIndex agent pulls municipal research, correlates it with geographic data from `get_municipio`, and builds a localized knowledge base. You can then run complex queries over this hybrid index. The engine synthesizes the raw numbers with your internal files, giving you a clear view of regional market conditions in Brazil.

Setup guide

Set up IBGE Full Access — Dados Brasileiros 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 Full Access — Dados Brasileiros 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 Full Access — Dados Brasileiros tools.",
)
response = await agent.run("List recent IBGE Full Access — Dados Brasileiros data")

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Common questions about IBGE Full Access — Dados Brasileiros MCP in LlamaIndex

Install llama-index-tools-mcp and instantiate the BasicMCPClient with your Vinkius URL. Wrap it in McpToolSpec and call to_tool_list_async() to pass the tools to your FunctionAgent.

Yes, you can fetch demographic and economic data using tools like get_agregado_data and write the output directly into LlamaIndex Document nodes. This builds a vector store grounded in official Brazilian statistics.

Use the allowed_tools filter when initializing your McpToolSpec. You can expose only geographic tools like list_estados and get_municipios_por_uf while hiding economic tools.

Yes, LlamaIndex lets you run agents that query both local PDFs and live tools. The agent can read a corporate PDF report and verify its facts against live census data fetched by get_resultados_pesquisa.

Vinkius executes all MCP Server requests inside an ephemeral, zero-trust sandbox. Your municipal survey lookups and geographic coordinates are never stored, protecting your proprietary market mapping strategies from exposure.

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