IBGE Nomes MCP Server for Mastra AIGive Mastra AI instant access to 2 tools to Get Name Frequency and Get Names Ranking
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect IBGE Nomes 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 for Mastra AI
The IBGE Nomes MCP Server for Mastra AI is a standout in the Data Analytics category — giving your AI agent 2 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "IBGE Nomes Agent",
instructions:
"You help users interact with IBGE Nomes " +
"using 2 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with IBGE Nomes?"
);
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 MCP Server
Connect to the IBGE (Brazilian Institute of Geography and Statistics) database through any AI agent to explore the rich demographic history of Brazilian names. This server provides direct access to the 'Nomes no Brasil' census data.
Mastra's agent abstraction provides a clean separation between LLM logic and IBGE Nomes tool infrastructure. Connect 2 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 — Query the number of births per decade for specific names (e.g., 'MARIA' or 'ENZO') to see how trends evolved over time.
- Rankings & Popularity — Generate rankings of the most frequent names in Brazil, with optional filters for gender and specific decades.
- Geographic Insights — Filter results by locality ID to understand regional naming preferences across different Brazilian states and municipalities.
- Comparative Analysis — Use the pipe separator to compare multiple names simultaneously and identify cultural shifts.
The IBGE Nomes MCP Server exposes 2 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 2 IBGE Nomes tools available for Mastra AI
When Mastra AI connects to IBGE Nomes through Vinkius, your AI agent gets direct access to every tool listed below — spanning demographics, brazil, census, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get name frequency on IBGE Nomes
Multiple names can be separated by a pipe (|). Obtains the frequency of births per decade for a specific name
Get names ranking on IBGE Nomes
Obtains a ranking of the most frequent names according to specified filters
Connect IBGE Nomes to Mastra AI via MCP
Follow these steps to wire IBGE Nomes into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the IBGE Nomes MCP Server
Mastra AI provides unique advantages when paired with IBGE Nomes through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add IBGE Nomes 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 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 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the IBGE Nomes MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query IBGE Nomes, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed IBGE Nomes 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 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using IBGE Nomes tools alongside other MCP servers
Example Prompts for IBGE Nomes in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with IBGE Nomes immediately.
"What is the birth frequency of the name 'Neymar' in Brazil per decade?"
"Show me the top 10 most popular female names in Brazil during the 1980s."
"Compare the popularity of 'Enzo' and 'Valentina' using IBGE data."
Troubleshooting IBGE Nomes MCP Server with Mastra AI
Common issues when connecting IBGE Nomes to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpIBGE Nomes + Mastra AI FAQ
Common questions about integrating IBGE Nomes 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?
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