UniOne MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Delete Template, Delete Webhook, Get Template, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect UniOne through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The UniOne app connector for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using UniOne, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 UniOne MCP Server
Connect your UniOne email delivery account to any AI agent and simplify how you manage your transactional messaging, email templates, and delivery tracking through natural conversation.
The Vercel AI SDK gives every UniOne tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Email Delivery — Send individual or bulk transactional emails with full HTML support and personalized sender details.
- Template Automation — List, create, and send emails using pre-defined templates for consistent branding.
- Event Monitoring — Configure webhooks and track delivery events (opened, clicked, delivered) in real-time.
- Reputation Management — List and manage suppressed email addresses (unsubscribes/bounces) to protect your sender score.
- Technical Control — Fetch detailed metadata for templates and webhooks directly from the agent.
The UniOne MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 UniOne tools available for Vercel AI SDK
When Vercel AI SDK connects to UniOne through Vinkius, your AI agent gets direct access to every tool listed below — spanning transactional-email, email-delivery, smtp, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Delete a template
Delete a webhook
Get template details
Get webhook details
List suppressed emails
List email templates
List webhooks
Send a transactional email
Send email using a template
Add email to suppression list
Create or update a template
Configure a webhook
Connect UniOne to Vercel AI SDK via MCP
Follow these steps to wire UniOne into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the UniOne MCP Server
Vercel AI SDK provides unique advantages when paired with UniOne through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same UniOne integration everywhere
Built-in streaming UI primitives let you display UniOne tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
UniOne + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the UniOne MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query UniOne in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate UniOne tools and return structured JSON responses to any frontend
Chatbots with tool use: embed UniOne capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with UniOne through natural language queries
Example Prompts for UniOne in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with UniOne immediately.
"List all email templates in my UniOne account."
"Send the 'welcome_01' template to 'user@example.com'."
"Check the suppression list for any recent bounces."
Troubleshooting UniOne MCP Server with Vercel AI SDK
Common issues when connecting UniOne to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpUniOne + Vercel AI SDK FAQ
Common questions about integrating UniOne MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.