How to Use the Mention MCP in Vercel AI SDK

Q: How do I search mentions using the Vercel AI SDK?

You pass the searchmentionsbykeyword tool into your generateText call. The AI client handles the query and returns the matching results to your state. It's that simple.

Q: Does the Vercel AI SDK support real-time alert updates?

Yes. You can trigger listmonitoringalerts to refresh the current status of your tracked keywords. The data flows directly into your app state.

Q: Can I mark mentions as read via the Vercel AI SDK?

Absolutely. Just invoke the markmentionasread tool when your user interacts with a UI element. The change propagates to the server immediately.

Stream real-time brand monitoring data directly into your frontend with the Vercel AI SDK and the Mention MCP Server.

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Connect Mention MCP to Vercel AI SDK

Create your Vinkius account to connect Mention 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 Mention with Vercel AI SDK

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Live mention streaming

Feed social media and news data into your UI as it happens. By connecting the Mention MCP Server, your app pulls raw findings through `list_recent_mentions` without waiting for backend polling cycles. Your users see information populating their dashboard the second it hits the wire. It makes the monitoring experience feel immediate and responsive rather than stale.

Context-aware alert management

Trigger alert creation directly from your React or Next.js components. Use `create_monitoring_alert` to let users set up new tracking parameters without leaving your application's interface. This keeps the user focused on their workflow. They stay inside your product while the AI client handles the heavy lifting of registering new keywords in the background.

Instant reputation stats

Display reach metrics on your frontend using `get_alert_statistics`. You can map these numbers to charts and graphs, giving your users a clear picture of their brand presence. It removes the need for manual reporting. Your AI client fetches the aggregate data, and your frontend renders the insight instantly for the end user.

Setup guide

Set up Mention 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 Mention 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 Mention 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 Mention. 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 Mention MCP in Vercel AI SDK

You pass the `search_mentions_by_keyword` tool into your `generateText` call. The AI client handles the query and returns the matching results to your state. It's that simple.

Yes. You can trigger `list_monitoring_alerts` to refresh the current status of your tracked keywords. The data flows directly into your app state.

Absolutely. Just invoke the `mark_mention_as_read` tool when your user interacts with a UI element. The change propagates to the server immediately.

Your connection stays scoped to your specific endpoint token. We handle auth at the gateway so your credentials never touch the client-side code directly.

The text content of your mentions is passed as transient data between the server and the AI client. It is never stored or logged by our infrastructure.

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