How to Use the ANA (Movimentação de Dados) MCP in Cursor

Q: Can I write new rainfall series using ANA (Movimentação de Dados) in Cursor?

Yes, you can use the createseriechuva tool directly through the agent. The editor generates the correct JSON payload and executes the write operation to save your precipitation data.

Q: How do I debug water quality payloads with ANA (Movimentação de Dados) inside Cursor?

You ask the agent to test a write operation using createserieqa. Cursor calls the tool, catches any validation errors from the Brazilian water agency schema, and fixes your code instantly.

Q: Is there a limit when fetching flow rate histories?

No, the getserievazao tool has zero limits on search queries per request. You can pull massive flow histories directly into your workspace for analysis.

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Setup ANA (Movimentação de Dados) with Cursor

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Build apps with live water data using this MCP Server

This MCP Server exposes `get_serie_qa` so your Cursor agent can write code using live water quality telemetry. Instead of using fake mock data, your editor writes functions against the actual API responses. When you need to build input forms, the agent uses `create_serie_qa` to test the exact write payloads. You get working, production-ready code because the editor tests the schema against real endpoints.

Track precipitation and river levels in your editor

The `get_serie_chuva` tool retrieves historical rainfall series directly into your active file. Your agent reads the raw precipitation output to write processing scripts on the fly. If your script needs to write back to the database, you can verify the structure using `create_serie_cota`. It creates new stage level records to confirm your database connectors work before you commit.

Update flow rates and profiles inside Cursor

The `update_serie_vazao` tool modifies flow series data directly from your terminal or chat panel. You don't need to write custom SQL scripts to patch incorrect flow measurements during development. For riverbed geography, you pull data using `get_serie_perfil_transversal` and update records with `update_serie_perfil_transversal`. The agent handles the complex coordinate payloads so you can focus on building your mapping application.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "ana-movimentacao-de-dados-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about ANA (Movimentação de Dados) MCP in Cursor

You add the server to your Cursor configuration file. Once configured, the agent calls tools like `get_serie_vazao` to fetch hydrometeorological data directly into your active coding session.

Yes, you can use the `create_serie_chuva` tool directly through the agent. The editor generates the correct JSON payload and executes the write operation to save your precipitation data.

You ask the agent to test a write operation using `create_serie_qa`. Cursor calls the tool, catches any validation errors from the Brazilian water agency schema, and fixes your code instantly.

No, the `get_serie_vazao` tool has zero limits on search queries per request. You can pull massive flow histories directly into your workspace for analysis.

All flow and rainfall metrics pass through an ephemeral, zero-trust MCP connection. Your database credentials are encrypted at rest, and the telemetry never touches persistent third-party storage.

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