How to Use the NFe.io MCP in Cursor

Q: Can Cursor use NFe.io tools during code generation?

Yes. Enable Agent mode, and the AI can call issuemerchandiseinvoice to verify your implementation. It uses the actual API feedback to refine your code.

Q: Does this NFe.io integration work with Cursor's global config?

You can add it to your global /.cursor/mcp.json file. This makes the tools available in every project you open.

Q: How do I cancel an invoice via Cursor?

Ask the agent to run cancelserviceinvoice with the appropriate ID. It executes the call against your NFe.io account and reports back the success status.

Inject real-time Brazilian tax data into your code using this MCP Server in Cursor.

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Connect NFe.io MCP to Cursor

Create your Vinkius account to connect NFe.io 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 NFe.io with Cursor

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Automate tax operations in Cursor

Stop mocking API responses for your tax features. Let the agent use `issue_service_invoice` to see exactly how the production API behaves during development. It writes your integration code based on live responses. You get accurate data structures for `issue_merchandise_invoice` without guessing field names.

Fetch company data while coding in Cursor

Call `get_company_details` to verify registration data while you build your billing logic. The AI sees the real response and adjusts your code to match. You can also run `list_companies` to populate dropdowns or configuration files. It pulls the data directly into your editor environment.

Debug invoice flows with Cursor

Use `get_service_invoice` to inspect existing records when your code hits a bug. You can see the actual invoice state without leaving the editor. If you see a mismatch, use `list_webhooks` to check your current notification settings. It helps you verify your backend configuration quickly.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "nfeio-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 NFe.io. 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 NFe.io MCP in Cursor

Create an mcp.json file in your project root. Add the server configuration there, and Cursor will detect the tools in Agent mode automatically.

Yes. Enable Agent mode, and the AI can call `issue_merchandise_invoice` to verify your implementation. It uses the actual API feedback to refine your code.

You can add it to your global ~/.cursor/mcp.json file. This makes the tools available in every project you open.

The server only processes the invoice and company data you explicitly request. Your credentials remain secure within your local environment variables.

Ask the agent to run `cancel_service_invoice` with the appropriate ID. It executes the call against your NFe.io account and reports back the success status.

Use it with your favorite AI tools

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