How to Use the NFe.io MCP in Vercel AI SDK

Q: Can I use Vercel AI SDK to cancel Brazilian invoices via NFe.io?

Yes, you can trigger cancelserviceinvoice or cancelmerchandiseinvoice directly from your chat interface. The SDK handles the asynchronous cancellation payload and updates your React state on the fly.

Q: How do I configure Vercel AI SDK to pull company details from NFe.io?

Instantiate the client using createMCPClient and pass the tools directly to streamText. Your agent will automatically invoke listcompanies or getcompanydetails when a user asks about their registered tax profiles.

Q: Do I need to write custom API routes for webhook monitoring?

No, you can use the MCP Server to run the listwebhooks tool directly inside your agentic workflows. This lets your application inspect active endpoints without manual database queries.

Issue Brazilian NFS-e and NF-e tax invoices live in your React components using Vercel AI SDK and this direct MCP connection.

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Connect NFe.io MCP to Vercel AI SDK

Create your Vinkius account to connect NFe.io to Vercel AI SDK 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 Vercel AI SDK

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Live invoice generation in Vercel AI SDK

The `issue_service_invoice` tool lets your Vercel AI SDK app generate Brazilian NFS-e documents directly during a live user chat. Instead of making your users wait for a background job to finish, the tool streams the raw invoice registration payload directly into your Next.js frontend components in real-time. You get immediate UI updates as the tax data processes. This MCP Server handles city code validation on the fly, catching input errors instantly so your interface can prompt the user for the correct municipality details without reloading the page.

Real-time cancellation and status updates

The `cancel_merchandise_invoice` tool handles NF-e cancellations directly from your AI-driven administrative dashboards. Your Vercel AI SDK application triggers this tool when a customer requests a return, updating the UI state immediately to show the cancelled status. By feeding the JSON response from `get_merchandise_invoice` directly into your React hooks, you eliminate the need to write custom API polling routes. Your users watch the cancellation process complete live on their screens.

Dynamic issuer registration on the edge

The `create_company` tool registers new tax issuers directly from edge functions running your Vercel AI SDK code. This setup lets your onboarding flow instantiate tax-compliant companies in Brazil without running heavy server-side backends. Calling `get_company_details` right after registration displays the tax configuration status to your customer immediately. This rapid feedback loop keeps users engaged during complex corporate onboarding steps.

Setup guide

Set up NFe.io MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all NFe.io tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent NFe.io transactions",
});

console.log(text);
await mcpClient.close();

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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 Vercel AI SDK

It bypasses traditional backend queues by feeding raw tool outputs directly into your Vercel AI SDK stream. When the agent triggers `issue_service_invoice`, the JSON response flows straight to your frontend, cutting out intermediate API layers.

Yes, you can trigger `cancel_service_invoice` or `cancel_merchandise_invoice` directly from your chat interface. The SDK handles the asynchronous cancellation payload and updates your React state on the fly.

Instantiate the client using `createMCPClient` and pass the tools directly to `streamText`. Your agent will automatically invoke `list_companies` or `get_company_details` when a user asks about their registered tax profiles.

No, you can use the MCP Server to run the `list_webhooks` tool directly inside your agentic workflows. This lets your application inspect active endpoints without manual database queries.

Absolutely. Vinkius runs the server in an isolated, zero-trust V8 sandbox that never persists your API keys or invoice payloads. All data transmitted through `issue_service_invoice` goes directly to the endpoint and is wiped from memory instantly.

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