How to Use the IBGE Nomes MCP in Google ADK

Q: Can I filter rankings by region using IBGE Nomes and Google ADK?

Yes. The getnamesranking tool includes parameters to filter by locality, which you pass directly through your Google ADK agent.

Integrate official Brazilian birth statistics into your Google ADK agent and cloud infrastructure.

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Connect IBGE Nomes MCP to Google ADK

Create your Vinkius account to connect IBGE Nomes to Google ADK 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 Nomes with Google ADK

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Query birth frequency via Google ADK

Your agent calls `get_name_frequency` to pull decade-specific birth data from the IBGE database. It integrates with your existing Google Cloud workflows for processing large demographic datasets. This provides the baseline volume your agent needs to analyze naming shifts. By passing names to the tool, you get precise counts that power your analytical pipelines.

Analyze name rankings in Google ADK

The `get_names_ranking` tool identifies the most frequent names by locality or gender filters. You use this to ground your agent's reasoning when it builds reports on Brazilian social trends. It brings verified population data into your agent's context window. Your agent then maps these trends against your existing BigQuery data to find correlations.

Scale demographic analysis

This MCP server works directly with your Google ADK LlmAgent setup. You restrict tool access using the tool_names filter to keep your agent's environment secure and focused. It allows your agents to act on real-world population metrics. You build agents that understand regional naming preferences by querying the IBGE source directly.

Setup guide

Set up IBGE Nomes MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with IBGE Nomes tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="IBGE Nomes_agent",
    model="gemini-2.0-flash",
    instruction="You have access to IBGE Nomes tools via MCP.",
    tools=mcp_tools,
)

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Common questions about IBGE Nomes MCP in Google ADK

You initialize the McpToolset with your server URL and add it to your LlmAgent. The agent then executes tool calls as needed.

Yes. The `get_names_ranking` tool includes parameters to filter by locality, which you pass directly through your Google ADK agent.

The server provides direct access to the IBGE API. Ensure your agent implementation includes caching if you expect high query volume.

It supports both HTTP and Stdio transports. You choose the configuration that fits your Google Cloud agent deployment.

The server only retrieves public demographic statistics. It does not store user data, ensuring your agent environment remains isolated and secure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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