How to Use the Brandwatch MCP in Vercel AI SDK

Q: Can I filter Brandwatch data within my Vercel AI SDK app?

Yes. You pass specific parameters to getmentions inside your agent logic. This restricts the data returned to only what your application needs to show the user.

Stream Brandwatch consumer insights directly into your Vercel AI SDK frontends for real-time UI updates.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Brandwatch MCP to Vercel AI SDK

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

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Live mention tracking in Vercel AI SDK

Feed your UI live consumer data by calling `get_mentions` inside your streamText functions. Your users watch as the AI pulls and renders social activity without a single loading spinner. This MCP server pushes raw mention data into your React components as it arrives. You get the raw JSON from Brandwatch and map it to your display logic instantly.

Project management for Vercel AI SDK agents

Access your entire workspace configuration by calling `list_projects` and `get_project`. Your application stays synced with current research focus areas without manual hardcoding. Building dynamic dashboards becomes trivial when your agent can query `list_dashboards` on the fly. Your frontend reflects exactly what exists in the account right now.

Automated query and tag management

Sync your agent with internal taxonomies using `list_queries` and `list_tags`. Your application logic changes based on what you actually track in the platform. When you need to organize feedback, `create_tag` allows your agent to categorize new mentions automatically. Your database stays clean and mirrors your research strategy.

Setup guide

Set up Brandwatch 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 Brandwatch 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 Brandwatch 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 Brandwatch. 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.

Connect Brandwatch now

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 Brandwatch MCP in Vercel AI SDK

Yes. You pass specific parameters to `get_mentions` inside your agent logic. This restricts the data returned to only what your application needs to show the user.

You configure the endpoint token on the Vinkius platform. The MCP server handles the handshake so your frontend code never touches raw API secrets.

No. The server uses V8 isolates to keep overhead minimal. It streams data back as soon as the platform returns a response.

Only what you expose. You control which tools are passed into your agent definition in the code.

Your social mention data stays within an ephemeral, memory-isolated sandbox. Vinkius clears all request payloads immediately after the session concludes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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