How to Use the Brandwatch MCP in Mastra AI

Q: Can my Mastra AI agent modify Brandwatch tags?

Yes. You include createtag in your agent's toolset. This allows your workflow to categorize incoming mentions based on your own logic.

Build resilient Brandwatch workflows in Mastra AI with automatic retries and conditional branching.

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…and any MCP-compatible client

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Connect Brandwatch MCP to Mastra AI

Create your Vinkius account to connect Brandwatch to Mastra AI 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 Mastra AI

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Perplexity

Mastra AI agent project discovery

Automate the setup of your research agents by using `list_projects` and `get_project`. Your workflow logic adapts to project changes without manual intervention. If a project name changes, your agent detects it during the next execution cycle. You spend less time updating hardcoded IDs and more time running analysis.

Reliable data ingestion for Mastra AI

Use `get_mentions` combined with Mastra AI's retry engine to handle flaky network connections. If the request fails, the workflow waits and tries again automatically. Your agents process high-volume mention data without breaking the pipeline. It handles the backoff logic so you don't have to write custom error handlers for every request.

Structured Brandwatch query management

Expose `list_queries` and `list_tags` to your Mastra AI agents to build smart routing. Your workflow can branch based on which query triggered the mention. This setup keeps your agent logic clean. It knows exactly which tags exist and can apply them using `create_tag` as part of a larger cleanup task.

Setup guide

Set up Brandwatch MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Brandwatch tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

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

const mcpClient = new MCPClient({
  id: "brandwatch-mcp-client",
  servers: {
    "brandwatch-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Brandwatch Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Brandwatch tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Brandwatch transactions"
);
console.log(result.text);

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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.

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Common questions about Brandwatch MCP in Mastra AI

You can wrap the MCP tool calls in your Mastra agent workflow. This lets you define custom retry policies if a Brandwatch endpoint returns a 5xx error.

Yes. You include `create_tag` in your agent's toolset. This allows your workflow to categorize incoming mentions based on your own logic.

It is ephemeral. The connection exists only for the duration of the agent execution, keeping your resource usage tight.

It does. Mastra AI supports requiring approval for tools, so you can force a human to review the mention data before the agent takes action.

Absolutely. Data is encrypted in transit and processed within a locked-down, ephemeral sandbox environment. Your credentials never leave the Vinkius infrastructure.

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