How to Use the Mercado Livre Interactions MCP in Vercel AI SDK

Q: How does Mercado Livre Interactions handle real-time streaming in Vercel AI SDK?

The server uses the getquestions tool to fetch pending buyer queries. Your Vercel AI SDK client streams these raw text strings directly into your UI components, showing users the agent's reasoning as it drafts replies.

Q: Can I trigger the answerquestion tool directly from a Vercel AI SDK chat component?

Yes. You pass the tools object from mcpClient.tools() to streamText. When the agent decides to reply, it calls answerquestion and updates the UI state immediately.

Q: How do I configure OAuth for Mercado Livre Interactions inside a Vercel AI SDK project?

You pass your credentials through the authProvider configuration when initializing the client. This keeps your marketplace tokens secure while allowing the server to retrieve metrics via getmetrics.

Stream Mercado Livre shopper queries and performance metrics directly into your Vercel AI SDK frontend in real time.

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Connect Mercado Livre Interactions MCP to Vercel AI SDK

Create your Vinkius account to connect Mercado Livre Interactions 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 Mercado Livre Interactions with Vercel AI SDK

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Stream buyer questions directly into Vercel AI SDK UIs

`get_questions` lets your agent instantly pull pending buyer inquiries from your Mercado Livre store. Your Vercel AI SDK client streams these questions straight to your custom dashboard, showing how this MCP Server bypasses annoying loading spinners. Once the agent drafts a response, it uses `answer_question` to push the reply back to the marketplace. Buyers get their answers in seconds, which directly protects your conversion rates during high-traffic sales.

Build instant dashboards with this MCP Server

`get_reputation` pulls your current seller tier and performance indicators directly from the marketplace. This MCP Server feeds that raw data into your Vercel AI SDK edge functions without adding database overhead. You can pair this with `get_metrics` to display live conversion and sales charts to your operations team. Seeing these numbers change live helps you spot sudden drops in seller status before they hurt your organic search rank.

Render buyer chat history on the edge

`get_messages` retrieves the complete conversation log for any specific sale. Your Vercel AI SDK application renders this history instantly, allowing your customer support agents to see the full context of a dispute. Having this history stream directly to the screen means your team handles returns faster. You don't waste time waiting for slow database queries or API roundtrips while a frustrated customer is waiting.

Setup guide

Set up Mercado Livre Interactions 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 Mercado Livre Interactions 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 Mercado Livre Interactions 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 Mercado Livre. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Common questions about Mercado Livre Interactions MCP in Vercel AI SDK

The server uses the `get_questions` tool to fetch pending buyer queries. Your Vercel AI SDK client streams these raw text strings directly into your UI components, showing users the agent's reasoning as it drafts replies.

Yes. You pass the tools object from `mcpClient.tools()` to `streamText`. When the agent decides to reply, it calls `answer_question` and updates the UI state immediately.

You pass your credentials through the `authProvider` configuration when initializing the client. This keeps your marketplace tokens secure while allowing the server to retrieve metrics via `get_metrics`.

Yes. The server communicates over standard HTTP transports. Your Vercel AI SDK edge functions can connect directly, keeping response times low.

Your sensitive seller metrics and buyer questions retrieved by `get_reputation` never persist on our servers. Vinkius runs the server inside an isolated, zero-trust sandbox, passing data directly to your Vercel AI SDK client over an encrypted connection.

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