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How to Use the Braze MCP in Vercel AI SDK

Push Braze user data into your Vercel AI SDK frontends for real-time engagement updates.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Braze MCP to Vercel AI SDK

Create your Vinkius account to connect Braze to Vercel AI SDK 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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Stream Braze campaign data into Vercel AI SDK

Feed live `list_campaigns` results directly into your React components. Your users see active growth metrics as the agent pulls them from the backend. This MCP Server pushes data through your existing stream pipes. You avoid the lag of traditional API calls.

Trigger journeys with Vercel AI SDK

Call `trigger_canvas` from your edge functions based on live user inputs. Your application initiates complex customer journeys without leaving the code base. Everything happens via your standard tool definitions. The interface stays responsive while the background task runs.

Manage user identities via Vercel AI SDK

Use `identify_user` to merge aliases to external IDs inside your auth flow. You keep your CRM records clean without manual database updates. Your application handles user mapping in real-time. This keeps your profile data consistent across every session.

Setup guide

Set up Braze MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Braze tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Braze transactions",
});

console.log(text);
await mcpClient.close();

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 Vercel AI SDK

Install the MCP client package and point it to your Vinkius endpoint. You then pass the tools directly into your streamText function.
Yes, the `delete_user` tool handles that. You should restrict this tool only to your administrative agents to prevent accidental data loss.
We use scoped tokens for all requests. The server only touches individual user IDs and campaign metadata, never your raw API keys.
Absolutely. It uses standard HTTP transports that fit right into your edge functions.
Your user segments reside in Braze, not the client. This server acts as a pass-through and doesn't store any of your PII.

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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