How to Use the IBGE Nomes MCP in Cursor

Q: How do I configure the IBGE Nomes server in Cursor?

Create a .cursor/mcp.json file in your project root and add the server configuration. You can also add it globally in your editor settings. Once added, enable agent mode in your chat to start querying.

Q: Can Cursor generate TypeScript interfaces for IBGE Nomes data?

Yes, the editor calls getnamefrequency to see the live payload structure and then writes exact interfaces. This ensures your front-end code matches the official Brazilian statistics format perfectly.

Q: How do I query multiple names at once in the editor?

Ask the agent to use getnamefrequency with names separated by a pipe. The editor will execute the query and write code that handles the multi-name array output.

Generate code with real Brazilian naming statistics inside Cursor using the official IBGE Nomes tools.

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Connect IBGE Nomes MCP to Cursor

Create your Vinkius account to connect IBGE Nomes to Cursor 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 Cursor

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Inject live demographic data into your code

Cursor uses its agent mode to run the `get_name_frequency` tool directly while you write code. Instead of using hardcoded mock data, your editor pulls actual birth counts from Brazil to populate your test suites. This live census context changes how you build demographic features for Brazilian users. Your editor understands the structure of the API response, so it writes accurate parsing code on the first try.

Build ranking features with this Cursor MCP Server

The `get_names_ranking` tool lets you fetch top names filtered by location and gender directly into your active file. Cursor reads this data to generate UI components that reflect actual Brazilian naming trends. You don't need to switch to a browser to verify IBGE API schemas while coding. The editor handles the Brazilian data calls in the background, keeping your focus on the code structure.

Write accurate data parsers instantly

When writing custom data visualizations, the `get_name_frequency` tool provides the exact decade-by-decade JSON structure. Cursor reads this structure to write perfect TypeScript types for your Brazilian demographic charts. Forget the typical trial-and-error loop of working with the raw IBGE endpoints. Your editor knows exactly which Brazilian name fields are returned, making your development cycle much faster.

Setup guide

Set up IBGE Nomes MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the IBGE Nomes MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent IBGE Nomes transactions." If the MCP tools are loaded correctly, Cursor will call the IBGE Nomes tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "ibge-nomes-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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.

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Common questions about IBGE Nomes MCP in Cursor

Create a `.cursor/mcp.json` file in your project root and add the server configuration. You can also add it globally in your editor settings. Once added, enable agent mode in your chat to start querying.

Yes, the editor calls `get_name_frequency` to see the live payload structure and then writes exact interfaces. This ensures your front-end code matches the official Brazilian statistics format perfectly.

The editor executes the tools locally via MCP, letting you inspect the raw JSON payloads in your terminal. You can watch the `get_names_ranking` tool execute to verify your query parameters before deploying.

Ask the agent to use `get_name_frequency` with names separated by a pipe. The editor will execute the query and write code that handles the multi-name array output.

Your source code remains entirely local and is never sent to the IBGE servers. Only the specific names used as parameters in `get_name_frequency` are transmitted to retrieve the statistics. Vinkius runs this in an ephemeral sandbox to prevent any data logging.

Use it with your favorite AI tools

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