Smaily MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Subscriber, Delete Subscriber, Get Automation, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Smaily 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 Smaily app connector for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 11 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 Smaily, 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 Smaily MCP Server
Connect your Smaily account to any AI agent and simplify your email marketing and automation workflows through natural conversation.
The Vercel AI SDK gives every Smaily tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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
- Subscriber Management — List all contacts in your database, retrieve detailed profile metadata, and create new subscribers programmatically
- Campaign Control — Query past and scheduled email campaigns to monitor your marketing outreach
- Automation & Autoresponders — List configured automated workflows and trigger specific autoresponder emails directly from your agent
- Template catalog — Query available email templates to choose the right look for your messages
- Operational tracking — Stay on top of your marketing performance and subscriber engagement
The Smaily MCP Server exposes 11 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 11 Smaily tools available for Vercel AI SDK
When Vercel AI SDK connects to Smaily through Vinkius, your AI agent gets direct access to every tool listed below — spanning subscriber-management, campaign-tracking, email-automation, 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.
Add a new subscriber
Remove a subscriber
Get details for an automation workflow
Get details for a specific campaign
Get details for a specific subscriber
Get details for an email template
List automated responders
List email campaigns
List message templates
List Smaily subscribers
Trigger an automation email
Connect Smaily to Vercel AI SDK via MCP
Follow these steps to wire Smaily 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 Smaily MCP Server
Vercel AI SDK provides unique advantages when paired with Smaily 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 Smaily integration everywhere
Built-in streaming UI primitives let you display Smaily 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
Smaily + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Smaily MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Smaily in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Smaily tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Smaily capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Smaily through natural language queries
Example Prompts for Smaily in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Smaily immediately.
"List all subscribers in Smaily."
"Show me the campaign performance for all email campaigns sent this quarter with engagement trends."
"Create a new subscriber and add them to the VIP customer automation workflow."
Troubleshooting Smaily MCP Server with Vercel AI SDK
Common issues when connecting Smaily to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSmaily + Vercel AI SDK FAQ
Common questions about integrating Smaily 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.