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BrandMentions MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect BrandMentions through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using BrandMentions, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
BrandMentions
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IAMAccess control
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V8 IsolateSandboxed
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About BrandMentions MCP Server

Connect your BrandMentions social listening account to any AI agent and orchestrate your brand monitoring workflows through natural conversation.

The Vercel AI SDK gives every BrandMentions tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • On-the-Spot Searches — Trigger immediate web and social media searches for specific keywords and retrieve the results instantly.
  • Campaign Management — List all your active tracking projects or create new ones to continuously monitor your brand or competitors.
  • Mention Auditing — Retrieve detailed mentions and sentiment analysis for your ongoing projects.
  • Influencer Discovery — List key influencers associated with your tracked keywords and projects.
  • Credit Tracking — Check your API limits and remaining credits in real-time.

The BrandMentions MCP Server exposes 9 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect BrandMentions to Vercel AI SDK via MCP

Follow these steps to integrate the BrandMentions MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 9 tools from BrandMentions and passes them to the LLM

Why Use Vercel AI SDK with the BrandMentions MCP Server

Vercel AI SDK provides unique advantages when paired with BrandMentions through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same BrandMentions integration everywhere

03

Built-in streaming UI primitives let you display BrandMentions tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

BrandMentions + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the BrandMentions MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query BrandMentions in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate BrandMentions tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed BrandMentions capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with BrandMentions through natural language queries

BrandMentions MCP Tools for Vercel AI SDK (9)

These 9 tools become available when you connect BrandMentions to Vercel AI SDK via MCP:

01

add_project

Create a new project for daily tracking

02

delete_project

Delete a project

03

get_influencers

List influencers for a specific project

04

get_mentions

Get full results for a completed search job

05

get_processed_mentions

Get partial results for a running search job

06

get_project_mentions

Retrieve mentions for a specific project

07

get_remaining_credits

Get current API credits limit/usage

08

list_projects

List all active campaigns/projects

09

post_search

Start an on-the-spot search job

Example Prompts for BrandMentions in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with BrandMentions immediately.

01

"List all active tracking projects in BrandMentions."

02

"Start a quick search for the keyword 'Vinkius'."

03

"Show me the top influencers for project proj_1."

Troubleshooting BrandMentions MCP Server with Vercel AI SDK

Common issues when connecting BrandMentions to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

BrandMentions + Vercel AI SDK FAQ

Common questions about integrating BrandMentions MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect BrandMentions to Vercel AI SDK

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.