How to Use the Correios do Brazil MCP in Vercel AI SDK

Q: How do I install Correios do Brazil with Vercel AI SDK?

Run npm install ai @ai-sdk/mcp to get started in your project. Set up your MCP client with the Vinkius URL, then pass the tools directly into streamText.

Q: Does Correios do Brazil support streaming UI updates in Vercel AI SDK?

Absolutely. When the agent calls calculateprices, the resulting cost data streams straight to your React or Next.js components, updating the buyer's screen instantly.

Q: How do I close the connection in my Next.js API route?

Always call mcpClient.close() when your execution completes. This prevents hanging HTTP connections and keeps your serverless execution times clean.

Get real-time Brazilian shipping rates and address lookups directly in your Next.js UI with the Vercel AI SDK.

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Connect Correios do Brazil MCP to Vercel AI SDK

Create your Vinkius account to connect Correios do Brazil 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 Correios do Brazil with Vercel AI SDK

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Real-time shipping quotes in your Vercel AI SDK app

The `calculate_prices` tool lets your agent fetch live shipping costs from Correios directly inside your streaming chat interface. Instead of waiting for a slow backend call after the LLM finishes generating, the rates update on screen as the model processes the request. Users get instant feedback on shipping fees without staring at a loading spinner. Your Edge Functions call this MCP Server to keep latency low, pulling exact pricing based on package dimensions and Brazilian postal codes instantly.

Autofill Brazilian addresses during chat checkout

When a user types a partial address or just a ZIP code, the `consult_cep` tool immediately resolves the full street name, neighborhood, and city details. This happens live in the client browser, letting your LLM verify location data without manual user entry. By feeding this data straight into your UI components, you eliminate typing mistakes at checkout. The MCP Server transmits raw JSON payload from the Brazilian postal service, rendering clean address blocks instantly.

Dynamic arrival dates streamed to your frontend

The `estimate_delivery_time` tool calculates the exact business days needed for Pac or Sedex deliveries between any two Brazilian regions. Your agent presents these options dynamically, letting customers choose the speed they want during their checkout flow. Because Vercel AI SDK supports streaming UI, the delivery timeline appears the second the model confirms the destination. You don't have to build custom API integrations; the MCP Server handles the Correios connection natively.

Setup guide

Set up Correios do Brazil 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 Correios do Brazil 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 Correios do Brazil transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Correios. 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 Correios do Brazil MCP in Vercel AI SDK

Run `npm install ai @ai-sdk/mcp` to get started in your project. Set up your MCP client with the Vinkius URL, then pass the tools directly into `streamText`.

Yes, this setup is fully compatible with Edge runtimes. The lightweight HTTP transport ensures your serverless functions fetch ZIP codes and shipping rates without hitting cold-start delays.

Absolutely. When the agent calls `calculate_prices`, the resulting cost data streams straight to your React or Next.js components, updating the buyer's screen instantly.

Always call `mcpClient.close()` when your execution completes. This prevents hanging HTTP connections and keeps your serverless execution times clean.

Your customers' CEP numbers and package sizes are sent securely through Vinkius's zero-trust sandboxed environment. No personal address history is stored permanently on our servers, ensuring strict compliance with Brazilian data regulations.

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