IBGE Nomes — Nomes do Brasil MCP Server for Mastra AI 3 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect IBGE Nomes — Nomes do Brasil through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"ibge-nomes-nomes-do-brasil": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "IBGE Nomes — Nomes do Brasil Agent",
instructions:
"You help users interact with IBGE Nomes — Nomes do Brasil " +
"using 3 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with IBGE Nomes — Nomes do Brasil?"
);
console.log(result.text);
}
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and IBGE Nomes — Nomes do Brasil tool infrastructure. Connect 3 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the IBGE Nomes — Nomes do Brasil MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 3 tools from IBGE Nomes — Nomes do Brasil via MCP
Why Use Mastra AI with the IBGE Nomes — Nomes do Brasil MCP Server
Mastra AI provides unique advantages when paired with IBGE Nomes — Nomes do Brasil through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add IBGE Nomes — Nomes do Brasil without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every IBGE Nomes — Nomes do Brasil tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
IBGE Nomes — Nomes do Brasil + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the IBGE Nomes — Nomes do Brasil MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query IBGE Nomes — Nomes do Brasil, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed IBGE Nomes — Nomes do Brasil as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query IBGE Nomes — Nomes do Brasil on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using IBGE Nomes — Nomes do Brasil tools alongside other MCP servers
IBGE Nomes — Nomes do Brasil MCP Tools for Mastra AI (3)
These 3 tools become available when you connect IBGE Nomes — Nomes do Brasil to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting IBGE Nomes — Nomes do Brasil to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpIBGE Nomes — Nomes do Brasil + Mastra AI FAQ
Common questions about integrating IBGE Nomes — Nomes do Brasil MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect IBGE Nomes — Nomes do Brasil with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
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 Nomes — Nomes do Brasil to Mastra AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.