How to Use the IBGE Nomes MCP in LlamaIndex

Q: Can I limit which IBGE Nomes tools are exposed to LlamaIndex?

Yes, use the allowedtools filter when setting up your McpToolSpec. You can choose to expose only getnamefrequency or getnamesranking depending on your application's focus.

Q: Can I index the ranking outputs from IBGE Nomes into a LlamaIndex vector database?

Yes, you can convert the JSON output of getnamesranking into document objects. LlamaIndex then embeds and stores these rankings, making them searchable via natural language queries.

Index historical Brazilian naming data from IBGE directly into your LlamaIndex vector store.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect IBGE Nomes MCP to LlamaIndex

Create your Vinkius account to connect IBGE Nomes 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.

GDPR Free for Subscribers

Setup IBGE Nomes with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index decade-based name frequency for semantic search

The `get_name_frequency` tool retrieves birth counts per decade from the official Brazilian census records. LlamaIndex takes this raw demographic output and parses it into document nodes for your vector index. Users query your knowledge base to find historical patterns without hitting the live API repeatedly. The indexed frequency data grounds your RAG application in real statistical facts.

Build localized RAG pipelines with an MCP Server

The `get_names_ranking` tool fetches localized name popularity charts sorted by gender or region. Your LlamaIndex FunctionAgent calls this tool to retrieve real-time statistics and injects them into the current query context. Using this MCP Server ensures your search results are always grounded in official Brazilian government data. You avoid model hallucinations regarding regional popularity trends by querying the live API directly.

Combine live demographic tools with static documents

The `get_names_ranking` and `get_name_frequency` tools run side-by-side with your existing vector databases. Our McpToolSpec class exposes these endpoints as standard MCP tools. You configure the agent to decide when to query the live IBGE database and when to pull from historical PDF reports. This creates a hybrid search system for Brazilian sociological research.

Setup guide

Set up IBGE Nomes 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 Nomes 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 Nomes tools.",
)
response = await agent.run("List recent IBGE Nomes data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IBGE. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect IBGE Nomes now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about IBGE Nomes MCP in LlamaIndex

Install the required package via pip install llama-index-tools-mcp. Initialize the BasicMCPClient with the server endpoint, convert it using McpToolSpec, and pass the tools to your FunctionAgent.

Yes, use the allowed_tools filter when setting up your McpToolSpec. You can choose to expose only `get_name_frequency` or `get_names_ranking` depending on your application's focus.

The agent retrieves actual statistical data from the server before generating a response. This ensures the output is based on real Brazilian census numbers rather than the model's training data.

Yes, you can convert the JSON output of `get_names_ranking` into document objects. LlamaIndex then embeds and stores these rankings, making them searchable via natural language queries.

The server only touches public Brazilian name counts and regional statistics. All operations occur within a secure V8 isolate sandbox, ensuring your application query parameters remain completely private.

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