How to Use the Fera.ai MCP in Vercel AI SDK

Stream verified Fera.ai customer reviews and ratings directly into your Vercel AI SDK frontends for live, data-driven UI updates.

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Connect Fera.ai MCP to Vercel AI SDK

Create your Vinkius account to connect Fera.ai 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 Fera.ai with Vercel AI SDK

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Live Review Streaming with Vercel AI SDK

Feed customer feedback directly into your React or Next.js components using `list_reviews`. Your agent pulls the latest entries, and because you're using the AI SDK, the data streams to the browser without any annoying loading spinners. This keeps your interface snappy. Users see the social proof pop up as your agent processes the latest store feedback.

Automated Rating Checks in TypeScript

Use `get_product_rating` to grab current sentiment metrics for any SKU in your catalog. Your agent processes these values to decide which products to highlight in your UI. It removes the guesswork from your product display logic. You get exact counts and ratings, ensuring the data rendered is always accurate and fresh.

Manage Store Metadata and Content

Access your entire store configuration through `list_stores` and `get_account_info`. Your Vercel AI SDK agent can now query account-level details to adjust its behavior based on specific store settings. It handles the heavy lifting of environment management. You just call the tools, and the agent keeps your store data synced with your runtime logic.

Setup guide

Set up Fera.ai 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 Fera.ai 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 Fera.ai 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 Fera.ai. 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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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Fera.ai MCP in Vercel AI SDK

Install the MCP client packages and point your transport to the server URL. Once configured, pass the tools into your `generateText` call to start pulling data immediately.

Yes. Since the MCP server provides tool results as streams, your frontends render the review data as soon as the agent finishes its work.

The client handles the request, but you control the caching logic in your own application layer. You decide how long to keep the review payloads before refreshing.

Only your endpoint token. You provide that in the environment variables, and the client manages the rest of the connection logic.

All review and customer profile data stays within your secure agent execution context. We don't log your sensitive store feedback or customer identifiers during transport.

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