Brandwatch MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Brandwatch through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Brandwatch, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Brandwatch MCP Server
Connect your Brandwatch Consumer Research account to any AI agent and orchestrate your social listening and data analysis workflows through natural conversation.
The Vercel AI SDK gives every Brandwatch tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Project & Dashboard Navigation — List and retrieve detailed metadata for all your active research projects and dashboards.
- Query Management — Access your configured search queries to monitor brand health and industry trends.
- Mention Retrieval — Query and inspect raw social mentions based on specific queries and date ranges.
- Data Aggregation — Retrieve volume aggregates to analyze mention trends and spikes over time.
- Tag Coordination — List and create categorization tags to organize your social data effectively.
The Brandwatch MCP Server exposes 8 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 Brandwatch to Vercel AI SDK via MCP
Follow these steps to integrate the Brandwatch MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Brandwatch and passes them to the LLM
Why Use Vercel AI SDK with the Brandwatch MCP Server
Vercel AI SDK provides unique advantages when paired with Brandwatch through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Brandwatch integration everywhere
Built-in streaming UI primitives let you display Brandwatch tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Brandwatch + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Brandwatch MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Brandwatch in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Brandwatch tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Brandwatch capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Brandwatch through natural language queries
Brandwatch MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Brandwatch to Vercel AI SDK via MCP:
create_tag
Create a new tag for categorizing mentions
get_mentions
Retrieve mentions for a specific query
get_project
Get details of a specific project
get_volume_aggregates
Get mention volume aggregates for a query
list_dashboards
List dashboards in a project
list_projects
List all active projects
list_queries
List configured queries in a project
list_tags
List tags available in a project
Example Prompts for Brandwatch in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Brandwatch immediately.
"List all queries configured in project proj_1."
"Get volume aggregates for query q_1 from Jan 1st to Jan 31st."
"Create a new tag called 'Urgent Review' in project proj_1."
Troubleshooting Brandwatch MCP Server with Vercel AI SDK
Common issues when connecting Brandwatch to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBrandwatch + Vercel AI SDK FAQ
Common questions about integrating Brandwatch MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Brandwatch with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Brandwatch to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.