Bring Notifications
to Vercel AI SDK
Learn how to connect MagicBell to Vercel AI SDK and start using 3 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the MagicBell MCP Server?
Connect your MagicBell project to any AI agent to orchestrate multi-channel notification workflows. Trigger broadcasts, check delivery status, and manage communication logs through natural conversation.
What you can do
- Broadcast Management — List all active and past broadcasts sent through your project to track communication history.
- Detailed Inspection — Fetch specific broadcast metadata, content, and processing status using unique UUIDs.
- Trigger Notifications — Create and send new broadcasts with custom titles, body content, and specific recipient filters.
- Multi-channel Control — Handle channel-specific overrides for email, SMS, and push notifications to ensure the right message reaches the right place.
How it works
- Subscribe to this server
- Enter your MagicBell Project JWT
- Start sending and monitoring notifications from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Product Managers — trigger system-wide announcements or feature updates without touching the technical dashboard.
- Support & Ops Teams — quickly verify if a specific broadcast was successfully processed and delivered to users.
- Developers — test notification payloads, categories, and overrides directly from your code editor during development.
Built-in capabilities (3)
Create a new broadcast
Fetch a specific broadcast
List all broadcasts in the project
Why Vercel AI SDK?
The Vercel AI SDK gives every MagicBell tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 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 MagicBell integration everywhere
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Built-in streaming UI primitives let you display MagicBell 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
MagicBell in Vercel AI SDK
MagicBell and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect MagicBell to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for MagicBell in Vercel AI SDK
The MagicBell 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. All 3 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
MagicBell for Vercel AI SDK
Every tool call from Vercel AI SDK to the MagicBell MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I send a notification to specific users or groups?
Yes! When using the create_broadcast tool, you can provide an array of user IDs or emails in the recipients field to target specific individuals or segments.
How do I check if a broadcast has been successfully processed?
You can use the get_broadcast tool with the unique broadcast ID. It will return the current processing status and metadata for that specific notification event.
Is it possible to customize the message content for different channels like Email or SMS?
Absolutely. The create_broadcast tool includes an overrides parameter where you can specify different content or templates for specific channels (email, sms, push).
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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