# IBGE Nomes MCP for AI Agents AI Agent Connect > IBGE Nomes MCP. Access official Brazilian name frequency and ranking data from the IBGE census. Explore popularity by decade, gender, and locality to find historical trends or regional naming preferences in Brazil. ## Overview - **Category:** data-analytics - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_F55nmkXr2a0Cx5grw9sUsBMRXzmuixor91OCwfyP/ai-agent-connect - **Tags:** demographics, brazil, census, name-trends, social-data, statistics ## Description You can pull real demographic history from the Brazilian Institute of Geography and Statistics directly into your workflow. If you're trying to figure out which names were popular in the 1980s or how a specific name like 'Enzo' exploded in the 2000s, this Connector does the heavy lifting for you. You don't have to scrape messy websites or navigate complex government portals. Just ask your agent to find the rankings for a specific state or compare the birth rates of two different names across several decades. It's a massive shortcut for anyone who needs accurate, official data on Brazilian naming trends. You'll find it in the Vinkius catalog, where it sits alongside hundreds of other data connectors that make research much faster. It's perfect for grabbing a quick statistic or doing a deep dive into regional cultural shifts without the manual headache. ## Tools ### get_name_frequency Get the birth frequency for specific names per decade. You can also compare multiple names at once by using a pipe. ### get_names_ranking Pull a ranking of the most popular names based on your chosen filters. It handles gender and specific decades easily. ## Prompt Examples **Prompt:** ``` What was the birth frequency for the name 'Maria' in Brazil during the 1980s? ``` **Response:** ``` I've checked the IBGE records for 'MARIA' in the 1980s. It was a very common name with over 1.6 million registrations during that decade. Would you like to see the rankings for other names from that same period? ``` **Prompt:** ``` Show me the top 10 female names in Brazil for the 2010s. ``` **Response:** ``` Here are the top 10 most frequent female names in Brazil for the 2010s: 1. Maria 2. Ana 3. Aline *(Data continues for top 10)* Would you like to see these rankings for a different decade? ``` **Prompt:** ``` Compare the popularity of 'Enzo' and 'Valentina' in the 2000s. ``` **Response:** ``` Comparing 'ENZO' and 'VALENTINA' for the 2000s: * **Enzo**: 44,056 registrations * **Valentina**: 10,033 registrations It looks like Enzo had a much higher frequency in that decade. Do you want to see the data for the 2010s as well? ``` ## Capabilities ### Fetch birth frequencies Get the number of births per decade for specific Brazilian names. ### Generate popularity rankings Get ranked lists of frequent names filtered by gender and year. ### Filter by locality See naming preferences for specific Brazilian states and municipalities. ### Compare multiple names Look at the data for several names at once using a simple separator. ### Identify cultural shifts Track how naming trends have evolved over different time periods. ## Use Cases ### Historical Fiction Research A writer wants to know common female names in 1980s Brazil to make a character feel real. They ask their agent to pull the top 10 names for that decade. ### Demographic Analysis A sociologist compares the explosion of 'Enzo' vs 'Valentina' in the 2000s to study naming trends. They use the pipe separator to check both names at once. ### App Development A dev wants to pull official naming data into a Brazilian genealogy app without building a custom scraper. They use the tools to fetch data for specific localities. ### Marketing Research A brand wants to see which names are currently trending in specific Brazilian municipalities. They query the rankings for specific locality IDs. ## Benefits - Skip the manual search for census data by using get_name_frequency to pull birth rates instantly. - Get accurate rankings for any decade using get_names_ranking instead of guessing at historical trends. - Compare multiple names side-by-side to see cultural shifts without switching tabs. - Filter by locality ID to see exactly how naming preferences change across different Brazilian states. - Save hours of research time by letting your agent handle the data retrieval from the IBGE database. ## How It Works The bottom line is you get official Brazilian demographic data in plain text without needing an API key or manual data entry. 1. Subscribe to the IBGE Nomes MCP via the Vinkius Marketplace. 2. Connect your preferred AI client like Claude or Cursor. 3. Ask for specific Brazilian name statistics or rankings. ## Frequently Asked Questions **Does the IBGE Nomes MCP provide real-time name trends?** No, this Connector pulls from official census data. It's great for historical trends and established demographics, but it won't show what's trending on social media this week. **Can I use the IBGE Nomes MCP to find names for a specific city?** Yes, you can filter the results by locality ID. This lets you see naming preferences in specific municipalities or states rather than just the national average. **Do I need an API key to use the IBGE Nomes MCP?** You don't need one. Since it uses the public IBGE Open Data API, you can start querying the data as soon as you connect the Connector to your AI client. **How accurate is the data in the IBGE Nomes MCP?** It's highly accurate because it comes directly from the Brazilian Institute of Geography and Statistics. It's the official source for demographic data in Brazil. **Can I compare multiple names at the same time with the IBGE Nomes MCP?** Yes, you can. By using a pipe separator, you can ask your agent to pull the birth frequency for several names at once to see how they stack up against each other. **Is the IBGE Nomes MCP good for writing historical fiction?** It's perfect for that. You can find out which names were common in specific decades, helping you choose historically accurate names for your characters. **Can I compare the popularity of two different names in the same query?** Yes! Use the `get_name_frequency` tool and separate the names with a pipe symbol (e.g., 'MARIA|ANA'). The agent will return the frequency data for both names across the decades. **How do I find the most popular names from the 1990s?** You can use the `get_names_ranking` tool and provide '1990' in the `decada` parameter. This will return a list of the most frequent names recorded during that specific period. **Is it possible to filter name statistics by a specific Brazilian state?** Absolutely. Both `get_name_frequency` and `get_names_ranking` accept a `localidade` parameter. You just need to provide the IBGE ID for the target state or municipality.