How to Use the Mention MCP in Vercel AI SDK

Q: Can I search for specific keywords using Mention and Vercel AI SDK?

Yes. You pass user queries directly into searchmentions to filter social noise. This keeps your Vercel AI SDK app focused on the specific brand topics that matter.

Q: Does this MCP Server for Vercel AI SDK require manual setup for each alert?

No. You use listalerts to grab your active monitoring list programmatically. Once you have the alert ID, you just pass it to getalertstatistics for the metrics.

Stream real-time brand sentiment directly into your Vercel AI SDK interface without waiting for slow loading states.

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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 brand monitoring in Vercel AI SDK

Feed live social data into your components using `list_mentions`. Your users see the stream update as the AI pulls fresh results. Stop guessing how your brand is performing. Use `get_alert_statistics` to render charts that update the moment your agent finishes its request.

Search social discourse with Vercel AI SDK

Trigger `search_mentions` through your chat interface to let users query historical social data. It returns raw text that your UI components can parse immediately. Keep the context window clean by fetching only what you need. Call `get_mention_details` to pull specific post content when a user clicks a result in your dashboard.

Manage alert pipelines for Vercel AI SDK

Hook into your existing alerts by calling `list_alerts`. This MCP Server gives your application the ability to see exactly what is triggering your current notifications. Verify your connections using `list_connected_external_accounts`. Ensure your AI client has the right permissions before it attempts to scrape data for your end users.

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

Your Mention credentials stay in your environment variables, never leaving your server. The MCP Server only touches metadata and public social posts, ensuring your private account settings remain untouched.

Yes. You pass user queries directly into `search_mentions` to filter social noise. This keeps your Vercel AI SDK app focused on the specific brand topics that matter.

No. You use `list_alerts` to grab your active monitoring list programmatically. Once you have the alert ID, you just pass it to `get_alert_statistics` for the metrics.

Not if you use streaming. By piping results through the Vercel AI SDK, you render the data as it arrives, avoiding any lag for the person looking at the UI.

You manage access through an endpoint token. Vinkius handles the underlying handshake, so your Vercel AI SDK instance only needs a single key to start talking to the server.

Use it with your favorite AI tools

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