# Inep Dados Abertos MCP for AI Agents AI Agent Connect > Inep Dados Abertos MCP gives your agent direct access to Brazil's official educational datasets. Instead of hunting through messy portals or downloading massive CSVs, you can query Censo Escolar, ENEM, and IDEB statistics directly. It turns raw Brazilian education data into actionable info for research and reporting. ## Overview - **Category:** data-analytics - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_3jZFxduHAUWcGTIHhzx5vn3c12b6IiwMJSWZrmJP/ai-agent-connect - **Tags:** education-data, brazil, academic-research, statistics, open-data, census ## Description You can stop wrestling with the Inep Open Data Portal's interface and start getting answers directly through your AI client. This Connector lets you dig into Brazil's most important educational statistics, like the ENEM exam results or school census data, using natural language. Instead of spending hours manually filtering spreadsheets, you can just ask for specific subsets of data, like school performance in a certain state or demographic trends in higher education. It handles the heavy lifting of navigating the different departments and thematic groups within the Brazilian Ministry of Education. Because Vinkius hosts this Connector, you can plug it into your existing workflow and start pulling live stats for research papers, policy reports, or news stories without ever leaving your chat window. It's about getting to the numbers you actually need without the friction of navigating a clunky web portal. ## Tools ### get_group Get specific details about an educational group. This helps you understand how data is categorized. ### get_organization Pull information about different departments within Inep. This clarifies which government body manages specific datasets. ### get_package View details for a specific dataset package. You can see the scope and metadata of a collection of files. ### get_resource Access information for a specific file or resource. This provides you with the direct details and structure of a single dataset entry. ### list_groups See a list of all available educational groups. Use this to browse the different categories of data. ### list_organizations List all organizations and departments within the portal. This shows you the full hierarchy of the Brazilian Ministry of Education. ### list_packages Get a list of all dataset names available in the portal. You can quickly see every dataset available for your research. ### list_tags See all available tags used to categorize the data. This helps you find specific topics across different datasets. ### search_datastore_sql Run SQL queries to filter and extract specific rows from a data store. This is the fastest way to get precise numbers without downloading files. ### search_datastore Search for specific data entries within a resource. Use this to find individual records in a large dataset. ### search_packages Find specific datasets by searching the package list. This helps you locate the correct data for a specific year or topic. ### search_resources Search for specific files or resources within a dataset. Use this to find the exact CSV or PDF you need. ## Prompt Examples **Prompt:** ``` Find me the datasets for the 2023 Censo Escolar. ``` **Response:** ``` I found several datasets for 'Censo Escolar', including annual microdata from 2020 to 2023. Would you like to see the details for the most recent one? ``` **Prompt:** ``` Give me the download links for the ENEM 2022 package. ``` **Response:** ``` The 'ENEM 2022' dataset contains 4 resources, including the main microdata CSV and the documentation PDF. Here are the direct download links: * [Download CSV Microdata] * [Download Documentation PDF] ``` **Prompt:** ``` Search for school records in São Paulo using SQL. ``` **Response:** ``` Querying the DataStore... I've retrieved 10 records for the state of São Paulo. The data includes school codes, names, and administrative categories. ``` ## Capabilities ### Search for specific educational datasets Find the exact data packages you need for your research using keywords. ### Run SQL queries on massive data stores Extract specific rows and columns from large datasets without downloading the whole file. ### Pull metadata and download links Get direct links to CSVs and PDFs along with their structural information. ### Map out government departments Identify which specific departments manage the data you are looking for. ### Filter statistics by tags or regions Narrow down results to specific years, states, or thematic categories. ## Use Cases ### Finding Censo Escolar data A researcher asks for all school census data from 2022 and gets a list of links instantly. ### Extracting state-level performance A journalist asks for school scores in São Paulo and uses search_datastore_sql to get a summary. ### Mapping education departments An analyst uses list_organizations to see which ministries handle higher education vs. primary school data. ### Finding specific exam results A student looks for ENEM 2022 results and uses search_packages to find the correct dataset. ## Benefits - Skip the manual portal navigation. Use list_packages to see everything available in one go instead of clicking through dozens of pages. - Query massive datasets instantly. Use search_datastore_sql to pull only the rows you need, saving you from downloading huge files. - Get direct download links. Use get_resource to grab the specific CSV or PDF you need for your final report. - Map out government structures. Use list_organizations to understand which department owns which data point. - Filter by specific tags. Use list_tags to quickly narrow down your search to the exact statistical series you're looking for. ## How It Works The bottom line is you get direct, queryable access to Brazil's official education data without the manual searching. 1. Subscribe to this Connector via the Vinkius catalog. 2. Enter your Inep API Key if you have specific access requirements. 3. Ask your AI client to find and query Brazilian education statistics. ## Frequently Asked Questions **What does the Inep Dados Abertos MCP actually do?** This Connector gives your AI client direct access to Brazil's official education datasets. You can query, search, and extract data from sources like the Censo Escolar and ENEM without manual navigation. **Can I use this to get ENEM exam results?** Yes, you can use it to find specific datasets related to ENEM results and pull out the exact statistics or download links you need for your report. **Does it work for Censo Escolar data?** Yes, it provides access to the Censo Escolar datasets, allowing you to find specific years of school census data and microdata records. **Can I run SQL queries on the data?** Yes, the Connector includes a tool that lets you run SQL queries on the DataStore. This is perfect for filtering large datasets to get specific rows quickly. **Is this for Brazilian education data only?** This Connector is specifically designed for the Inep Open Data Portal, which covers Brazilian educational statistics. It is not for other countries. **Do I need to download the datasets to use it?** No, you don't need to download the files first. The Connector allows your AI client to query the data directly and provide you with the information or download links. **How do I find specific school statistics?** You can simply ask your AI client to search for specific school statistics by region, year, or category. The Connector will find the relevant datasets and results for you. **Can I query specific data inside a resource without downloading the whole file?** Yes! You can use the `search_datastore_sql` tool to run SQL queries directly against the Inep database for resources that support the DataStore API. **How do I find datasets related to a specific topic like 'ENEM'?** Use the `search_packages` tool with the query 'ENEM'. It will return all matching datasets, which you can then inspect using `get_package`. **Is it possible to list all organizations that publish data on the portal?** Yes, the `list_organizations` tool retrieves all departments and entities within Inep that maintain open data resources.