Braze MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Braze through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
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: {
"braze": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Braze Agent",
instructions:
"You help users interact with Braze " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Braze?"
);
console.log(result.text);
}
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 Braze MCP Server
Connect your Braze customer engagement platform to any AI agent and orchestrate your marketing automation and user tracking workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Braze tool infrastructure. Connect 10 tools through the 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
- User Orchestration — Track new user attributes and events, identify anonymous users, or permanently delete user profiles for compliance.
- Campaign Management — List all your marketing campaigns, retrieve detailed metadata, and instantly trigger API-based campaign sends to specific users.
- Canvas (Journey) Control — List and inspect multi-step Canvases, and trigger users to enter specific Canvas workflows.
- Data Export — Programmatically export user profile data by their external IDs.
The Braze MCP Server exposes 10 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 Braze to Mastra AI via MCP
Follow these steps to integrate the Braze MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Braze via MCP
Why Use Mastra AI with the Braze MCP Server
Mastra AI provides unique advantages when paired with Braze through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Braze without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Braze tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Braze + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Braze MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Braze, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Braze as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Braze on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Braze tools alongside other MCP servers
Braze MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Braze to Mastra AI via MCP:
delete_user
Delete a user by external ID
export_user_ids
Export profile data for specific users
get_campaign_details
Get details of a specific campaign
get_canvas_details
Get details of a specific Canvas
identify_user
Identify a user (merge alias to external ID)
list_campaigns
List all campaigns
list_canvases
List all Canvases
track_user
Track user attributes or events
trigger_campaign
Trigger an API-triggered campaign
trigger_canvas
Trigger a Canvas journey
Example Prompts for Braze in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Braze immediately.
"List all active campaigns in Braze."
"Track user 'usr_992' with attribute {'loyalty_tier':'Gold'}."
"List all Canvases configured in the workspace."
Troubleshooting Braze MCP Server with Mastra AI
Common issues when connecting Braze to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpBraze + Mastra AI FAQ
Common questions about integrating Braze MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Braze 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Braze to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.