Bring Customer Engagement
to Vercel AI SDK
Create your Vinkius account to connect Braze to Vercel AI SDK and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Braze REST API Key and Base URL (e.g., https://rest.iad-01.braze.com)
- Start managing your customer journeys from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (10)
Delete a user by external ID
Export profile data for specific users
Get details of a specific campaign
Get details of a specific Canvas
Identify a user (merge alias to external ID)
List all campaigns
List all Canvases
Track user attributes or events
Trigger an API-triggered campaign
Trigger a Canvas journey
Why Vercel AI SDK?
The Vercel AI SDK gives every Braze tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Braze integration everywhere
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Built-in streaming UI primitives let you display Braze tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Braze in Vercel AI SDK
Why run Braze with Vinkius?
The Braze connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Braze using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Braze and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Braze to Vercel AI SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Braze for Vercel AI SDK
Every request between Vercel AI SDK and Braze is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can I trigger an API campaign for a specific user?
Yes! Use the trigger_campaign tool with the Campaign ID and a JSON array of recipient objects (e.g., [{"external_user_id":"123"}]).
How do I update a user's custom attribute?
Simply ask the agent to track_user and provide the External ID along with the new attributes in JSON format (e.g., {"favorite_color":"blue"}).
Does the integration allow permanently deleting a user for GDPR compliance?
Yes. Use the delete_user mutation with the user's External ID. This will permanently remove their profile and data from your Braze dashboard.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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