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Brandwatch MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Brandwatch through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Brandwatch Agent",
    instructions:
      "You help users interact with Brandwatch " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Brandwatch?"
  );
  console.log(result.text);
}

main();
Brandwatch
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Brandwatch tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Brandwatch MCP Server with Mastra AI.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

Mastra discovers 8 tools from Brandwatch via MCP

Why Use Mastra AI with the Brandwatch MCP Server

Mastra AI provides unique advantages when paired with Brandwatch through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Brandwatch without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Brandwatch tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Brandwatch + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Brandwatch MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Brandwatch, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Brandwatch as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Brandwatch on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Brandwatch tools alongside other MCP servers

Brandwatch MCP Tools for Mastra AI (8)

These 8 tools become available when you connect Brandwatch to Mastra AI via MCP:

01

create_tag

Create a new tag for categorizing mentions

02

get_mentions

Retrieve mentions for a specific query

03

get_project

Get details of a specific project

04

get_volume_aggregates

Get mention volume aggregates for a query

05

list_dashboards

List dashboards in a project

06

list_projects

List all active projects

07

list_queries

List configured queries in a project

08

list_tags

List tags available in a project

Example Prompts for Brandwatch in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Brandwatch immediately.

01

"List all queries configured in project proj_1."

02

"Get volume aggregates for query q_1 from Jan 1st to Jan 31st."

03

"Create a new tag called 'Urgent Review' in project proj_1."

Troubleshooting Brandwatch MCP Server with Mastra AI

Common issues when connecting Brandwatch to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Brandwatch + Mastra AI FAQ

Common questions about integrating Brandwatch MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Brandwatch to Mastra AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.