How to Use the Acre Dados Abertos MCP in Cursor

Q: Can Cursor write code to parse tables from Acre Dados Abertos?

Yes, it can. Cursor calls searchdatastore to inspect the tabular structure, then generates the exact parsing script you need based on real public data columns.

Q: Can I filter datasets by theme inside my editor?

Yes, you can. The agent uses listgroups to find thematic categories, then runs getgroup to fetch all related datasets directly into your Cursor chat.

Feed real Acre state data directly into your Cursor agent to write code with live Brazilian public datasets.

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Connect Acre Dados Abertos MCP to Cursor

Create your Vinkius account to connect Acre Dados Abertos 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 Acre Dados Abertos with Cursor

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Generate Cursor code with live Acre Dados Abertos schemas

Stop writing code against outdated API documentation or mock payloads. When you ask Cursor to build an app using Acre state data, the agent uses `get_package` to pull the live metadata structure directly into your editor. This lets your editor write accurate TypeScript types or Python dataframes based on the actual public registry. You build your data pipelines with zero guesswork.

Query public tables directly from the Cursor terminal

Skip the browser entirely when inspecting raw data structures. This MCP Server lets your Cursor agent run `search_datastore` to pull sample rows from Brazilian public databases right into your workspace. You can instantly check if a resource contains the columns you need before writing your fetch logic. The agent uses `get_resource` to verify the schema so your code runs correctly on the first try.

Discover state datasets without leaving your code editor

Finding the right public registry is simple when your editor does the searching. Your agent can run `search_packages` and `list_packages` to find relevant datasets based on your current MCP context. Whether you need environmental metrics or budget reports, the server returns the exact resource URLs. You can immediately feed these endpoints into your code without context switching.

Setup guide

Set up Acre Dados Abertos 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 Acre Dados Abertos 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 Acre Dados Abertos transactions." If the MCP tools are loaded correctly, Cursor will call the Acre Dados Abertos tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "acre-dados-abertos-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 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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Common questions about Acre Dados Abertos MCP in Cursor

Just ask the Cursor agent to inspect a dataset. It will call `get_package` to retrieve the live metadata schema and insert the correct data structures directly into your active code file.

Yes, it can. Cursor calls `search_datastore` to inspect the tabular structure, then generates the exact parsing script you need based on real public data columns.

No, this server requires an active connection to query the Brazilian state database. Cursor needs an internet connection to invoke tools like `list_packages` and retrieve live public records.

Yes, you can. The agent uses `list_groups` to find thematic categories, then runs `get_group` to fetch all related datasets directly into your Cursor chat.

Not at all. This MCP setup only transmits the specific queries used to find Brazilian public records to the state's open data API. Your local source code remains entirely within Cursor and is never shared with the public registry.

Use it with your favorite AI tools

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