Acre Dados Abertos MCP. Query Brazil's public sector data directly from your chat.
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Acre Dados Abertos connects your AI agent directly to the State of Acre's open data portal. It lets you search, browse, and analyze public government datasets—like GDP or health stats—without downloading massive files.
Use the agent to discover specific data packages, check metadata, or query records in tabular files directly through natural language.
What your AI agents can do
Get group
Retrieves detailed information for a specific thematic data group.
Get package
Fetches detailed metadata for a specific dataset (package).
Get resource
Retrieves metadata for a specific file or resource within a dataset.
Your agent uses search_packages to list and find relevant data sets based on natural language input.
Your agent uses get_package or get_resource to fetch the metadata, format, and provenance details of any dataset or file.
Your agent uses search_datastore to filter and retrieve specific records from large CSV or data tables without downloading the whole file.
Your agent uses list_organizations to find all government bodies contributing data to the portal.
Your agent uses list_groups to fetch all thematic categories (e.g., Health, Economy) available for data exploration.
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Acre Dados Abertos MCP Server: 8 Tools for Data Discovery
These tools allow your agent to systematically browse, search, and analyze the open data catalog of the State of Acre, Brazil, through structured operations.
019e385fget group
Retrieves detailed information for a specific thematic data group.
019e385fget package
Fetches detailed metadata for a specific dataset (package).
019e385fget resource
Retrieves metadata for a specific file or resource within a dataset.
019e385flist groups
Lists all available thematic groups in the Acre open data portal.
019e385flist organizations
Lists all government organizations that publish data through the portal.
019e385flist packages
Lists the names of all available datasets (packages).
019e385fsearch datastore
Searches and filters records within large, tabular data files (Datastore) using specific criteria.
019e385fsearch packages
Searches the entire catalog for datasets (packages) using keywords or filters.
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What you can do with this MCP connector
Acre Dados Abertos hooks up your AI agent directly to the State of Acre's open data portal. It lets your agent search, browse, and analyze public government data sets—like GDP or health stats—without having to download massive files. You can use your agent to find specific data packages, check file metadata, or query records in data tables using natural language.
Finding Datasets by Topic or Keyword
Your agent uses search_packages to list and find relevant data sets based on what you type. You can also search for specific thematic groups using list_groups to see all available categories, or check which government bodies publish the data by calling list_organizations. When you need details on a specific thematic group, your agent runs get_group to get that info.
If you want to know what data packages exist, list_packages gives you the names of all available datasets. When you need to inspect the details of a dataset, your agent can run get_package, and if you're focused on a specific file inside that dataset, it uses get_resource to get the metadata.
Querying Tabular Data Records
Your agent uses search_datastore to filter and pull specific records from large CSV or data tables. You don't have to download the whole file; your agent just gets the specific data points you want. This lets you check the records in a dataset without bogging down your system.
Inspecting Data Sources and Details
To find all the government bodies contributing data, your agent uses list_organizations. When you need to know what data is available, list_packages shows you the names of every dataset. If you want to know what groups of data exist, list_groups gives you the thematic categories. You can get detailed metadata for a specific dataset with get_package, or for a single file using get_resource.
You can also get detailed info on a thematic group using get_group.
How Acre Dados Abertos MCP Works
- 1 Subscribe to the Acre Dados Abertos server. If you have an Acre API Key, enter it now for higher rate limits.
- 2 Tell your AI agent what data you need (e.g., 'Find all datasets about municipal GDP').
- 3 The agent executes the necessary tools (
search_packages,list_groups, etc.) and returns structured data allowing you to analyze the findings.
The bottom line is that your agent handles the multi-step process of discovery, inspection, and querying, so you don't have to.
Who Is Acre Dados Abertos MCP For?
Data Analysts and investigative journalists need this. If your job requires verifying government statistics, finding public records, or sampling datasets for a report, this server cuts out the tedious manual navigation of public data portals.
Uses search_packages and search_datastore to quickly sample and validate public datasets for research and reporting without manual API calls.
Uses natural language prompts to find public records or verify government figures by querying the data source directly.
Integrates real-time public data into applications using the structured search capabilities of search_datastore.
What Changes When You Connect
- Deep Data Querying: Instead of downloading massive CSV files, use
search_datastoreto filter and retrieve only the exact records you need from a large dataset. - Structured Discovery: Use
list_groupsandlist_organizationsto systematically browse the data. You can see which themes or government bodies hold the data you're looking for. - Metadata Confidence: Never guess a dataset's format again. Use
get_packageandget_resourceto check the full metadata, data format, and provenance before your agent uses it. - Targeted Searching: Don't waste time looking through irrelevant data.
search_packageslets you narrow down the entire catalog using specific keywords or criteria. - Systematic Exploration: Need to know what data exists?
list_packagesgives you a complete list of all available datasets, giving you a clear starting point.
Real-World Use Cases
Verifying historical economic trends
A researcher needs to compare municipal GDP across several years. Instead of visiting 10 different pages and downloading 10 files, the agent uses search_packages to find the correct GDP dataset, then uses search_datastore to filter by the specific years and municipalities needed for comparison.
Finding data on public health outbreaks
A journalist is tracking a health crisis. They ask the agent to list all relevant datasets (list_packages) and then use get_group to narrow it down to 'Health'. Finally, they use search_datastore to query records filtered by location and date.
Mapping all contributing government sources
A developer wants to build an app that shows data from every government department. They use list_organizations to get a definitive list of all sources, then use get_package to see what kind of data each source publishes.
Building a data pipeline from scratch
A data scientist needs a list of all available data categories. They run list_groups to see the thematic scope, then use list_packages to get a full inventory, allowing them to build a complete data inventory checklist.
The Tradeoffs
Trying to download everything
Manually downloading a large CSV file for 'municipal GDP' just to find one data point. You end up with gigabytes of raw data and spend hours cleaning it up.
→
Let the agent run search_datastore on the package ID. This filters the raw data down to only the records you need, giving you a clean, summarized result immediately.
Guessing the correct data structure
Assuming a dataset contains the data you need, but realizing halfway through that the actual resource ID is missing or the data is in a different format.
→
First, use get_package to review the full metadata. Then use get_resource to check the specific file format and data type before proceeding.
Chaining API calls manually
Calling list_groups to get IDs, then manually taking those IDs and passing them one-by-one to get_package in a loop.
→
Simply ask your agent: 'List all packages related to the Economy group.' The agent handles the necessary sequence of list_groups followed by search_packages for you.
When It Fits, When It Doesn't
Use this server if your work depends on public sector data from Acre, Brazil, and you need to interact with that data programmatically via an AI agent. You need to discover what data exists, inspect its structure, and query specific records (using search_datastore).
Don't use this if you just need a simple, static list of links or if your data source is private. If your data is already in a clean, structured format, you might use a different data integration tool. If you only need to know what groups exist, list_groups handles that. But if you need the actual data, you need the full toolset.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Acre Dados Abertos. 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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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Sifting through open data portals is a nightmare of clicks and downloads.
Today, accessing public data means clicking through multiple organizational tabs. You navigate from the main portal to a thematic group, then find a specific package, and finally download a massive CSV file—only to open it and realize you need to manually filter the column headers and rows.
With the Acre Dados Abertos MCP Server, your agent handles the whole sequence. You just tell it what you need—say, 'GDP data for Rio Branco.' It finds the right package, checks the metadata, and pulls the filtered records using `search_datastore`. You get the answer, not a zip file.
Acre Dados Abertos MCP Server: Query public data with pinpoint accuracy.
No more spending time on manual searches for resource IDs or group names. The agent knows how to use `search_packages` to find the right dataset and then `get_resource` to check the file's exact format, saving you the initial discovery phase.
What's different now is that you talk to the data. You don't navigate the website. Your AI client runs the necessary tools in the background, delivering structured, actionable results directly to your chat.
Common Questions About Acre Dados Abertos MCP
How do I use the search_datastore tool with Acre Dados Abertos? +
You tell the agent to search the datastore and specify the resource ID and the filtering criteria (e.g., 'filter by municipality Rio Branco'). The agent handles the complex syntax needed for the query.
Can I list all available data groups using list_groups? +
Yes, running list_groups retrieves a complete list of all thematic categories available in the Acre portal, letting you see the full scope of data.
What is the difference between get_package and get_resource? +
Use get_package to get metadata for the entire dataset (the container). Use get_resource when you need metadata for a single file or resource inside that dataset.
How does search_packages work? +
You prompt the agent to search for a dataset by name or topic. The agent uses search_packages to scan the catalog and return the best matches, including their metadata.
How do I use `list_organizations` to find data sources? +
The list_organizations tool fetches all publishing entities. Use this to identify which specific government body publishes the data you need, helping you narrow your search before using get_package.
What is the best way to search for a specific dataset using `search_packages`? +
You pass search terms (like 'economia' or 'saúde') to search_packages. This returns a list of package names, which you then feed into get_package to get the full metadata.
Can I get metadata for a file using `get_resource`? +
Yes, get_resource accepts a resource ID. It returns detailed information about a specific file—its format, size, and original source—without needing to download the data itself.
What happens if my query fails using `search_datastore`? +
If search_datastore fails, it typically means the resource ID or filtering parameters are wrong. Check the resource ID and ensure your filter criteria match the data's expected format (e.g., year or municipality names).
How can I search for datasets related to a specific topic like 'health'? +
Use the search_packages tool with the query 'saude'. The agent will return a list of datasets matching that theme from the Acre portal.
Can I filter data inside a CSV file without downloading it? +
Yes! If the resource is in the Datastore, use the search_datastore tool with the Resource ID. You can apply filters like {"municipio": "Rio Branco"} to get specific rows.
How do I find which government departments are publishing data? +
Use the list_organizations tool to see all contributing entities, or list_groups to see thematic categorizations like 'Environment' or 'Economy'.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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