Where does this name data come from?

All name data comes from **official IBGE Census records** spanning over 90 years. The frequency counts represent actual birth registrations aggregated by decade since the 1930s.

IBGE Nomes — Nomes do Brasil MCP Server for LlamaIndex 3 tools — connect in under 2 minutes

Name: IBGE Nomes — Nomes do Brasil
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 3 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add IBGE Nomes — Nomes do Brasil as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to IBGE Nomes — Nomes do Brasil. "
            "You have 3 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in IBGE Nomes — Nomes do Brasil?"
    )
    print(response)

asyncio.run(main())

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About IBGE Nomes — Nomes do Brasil MCP Server

Tap into Brazil's most viral dataset — the IBGE Names API that broke the internet when launched, as 200 million Brazilians rushed to look up their own names.

LlamaIndex agents combine IBGE Nomes — Nomes do Brasil tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Name Frequency — How many "Marias" were born in each decade since 1930? Track any name's rise and fall across almost 100 years
National Ranking — Top 20 most popular names by decade + filter by sex (M/F)
Regional Trends — Compare name popularity across Brazilian states (is "José" more popular in Bahia or São Paulo?)

The IBGE Nomes — Nomes do Brasil MCP Server exposes 3 tools through the Vinkius. Connect it to LlamaIndex 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 Nomes — Nomes do Brasil to LlamaIndex via MCP

Follow these steps to integrate the IBGE Nomes — Nomes do Brasil MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 3 tools from IBGE Nomes — Nomes do Brasil

Why Use LlamaIndex with the IBGE Nomes — Nomes do Brasil MCP Server

LlamaIndex provides unique advantages when paired with IBGE Nomes — Nomes do Brasil through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine IBGE Nomes — Nomes do Brasil tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain IBGE Nomes — Nomes do Brasil tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query IBGE Nomes — Nomes do Brasil, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what IBGE Nomes — Nomes do Brasil tools were called, what data was returned, and how it influenced the final answer

IBGE Nomes — Nomes do Brasil + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the IBGE Nomes — Nomes do Brasil MCP Server delivers measurable value.

Hybrid search: combine IBGE Nomes — Nomes do Brasil real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query IBGE Nomes — Nomes do Brasil to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying IBGE Nomes — Nomes do Brasil for fresh data

Analytical workflows: chain IBGE Nomes — Nomes do Brasil queries with LlamaIndex's data connectors to build multi-source analytical reports

IBGE Nomes — Nomes do Brasil MCP Tools for LlamaIndex (3)

These 3 tools become available when you connect IBGE Nomes — Nomes do Brasil to LlamaIndex via MCP:

get_nome_frequencia

Supports multiple names separated by |. Example: "Maria", "João|Pedro". Get birth frequency by decade for a Brazilian name

get_nome_por_localidade

Use the IBGE UF code (e.g., 33 for RJ, 35 for SP). Get name frequency filtered by Brazilian state

get_ranking_nomes

Can be filtered by decade and/or sex (M or F). Get ranking of most popular names in Brazil

Example Prompts for IBGE Nomes — Nomes do Brasil in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with IBGE Nomes — Nomes do Brasil immediately.

"How popular was the name 'Maria' across decades in Brazil?"

"What are the top 10 baby names in Brazil in the 2000s?"

"Is 'João' more popular in Bahia or in Rio Grande do Sul?"

Troubleshooting IBGE Nomes — Nomes do Brasil MCP Server with LlamaIndex

Common issues when connecting IBGE Nomes — Nomes do Brasil to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

IBGE Nomes — Nomes do Brasil + LlamaIndex FAQ

Common questions about integrating IBGE Nomes — Nomes do Brasil MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query IBGE Nomes — Nomes do Brasil tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.