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How to Use the Braze MCP in Mastra AI

Build complex customer workflows in Mastra AI using direct Braze integration.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Braze MCP to Mastra AI

Create your Vinkius account to connect Braze 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.

GDPR Free for Subscribers

Automate Braze campaigns with Mastra AI

Set up conditional logic to run `trigger_campaign` when specific user events occur. You define the flow, and the agent executes it based on your rules. Failures trigger automatic retries within your agent workflow. You keep your engagement loops running even if the network blips.

Sync user attributes through Mastra AI

Run `track_user` to push events from your internal systems into your engagement platform. Your agent acts as the bridge between your app and your customers. This keeps your targeting data fresh. You don't need to write custom cron jobs for simple event updates.

Inspect Braze infrastructure using Mastra AI

Query `get_canvas_details` to verify your journey logic inside an agent chain. You can have an agent check for errors before it triggers a blast. This catches configuration issues early. Your team saves time by letting the agent audit your setup first.

Setup guide

Set up Braze 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

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

  4. 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: "braze-mcp-client",
  servers: {
    "braze-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Braze. 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.

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 Braze MCP in Mastra AI

Initialize the client with your endpoint and spread the tools into your agent config. It auto-detects the transport type for you.
You can use `export_user_ids` to pull segments into your workflow. It returns the raw IDs for your agent to process further.
Yes, you can enable tool approval for sensitive actions like deleting users. The agent pauses until you confirm the command.
The server processes user IDs and campaign settings in an ephemeral sandbox. No data persists once the workflow finishes.
The server acts as an MCP gateway. You just provide the URL to your Vinkius-hosted endpoint.

Start using the Braze MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Braze. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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