SuperSaaS MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Appointment, Delete Appointment, Get Account Balance, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect SuperSaaS 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 SuperSaaS app connector for Vercel AI SDK is a standout in the Productivity 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 SuperSaaS, 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 SuperSaaS MCP Server
Connect your SuperSaaS account to any AI agent and simplify your online appointment scheduling, booking management, and user database through natural conversation.
The Vercel AI SDK gives every SuperSaaS 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
- Schedule Management — List all online appointment schedules, retrieve detailed metadata and availability settings
- Appointment Control — Query bookings and appointments for any schedule, and retrieve detailed attendee info
- Direct Execution — Create new appointments and bookings programmatically directly from your agent with names and times
- User Coordination — List registered users and team members to understand your institution's occupancy
- Account Tracking — Access your real-time account balance and usage metrics directly from your agent
The SuperSaaS 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 SuperSaaS tools available for Vercel AI SDK
When Vercel AI SDK connects to SuperSaaS through Vinkius, your AI agent gets direct access to every tool listed below — spanning appointment-booking, scheduling-software, availability-management, 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.
Create a new booking
Delete an appointment
Check account credit balance
Get details for a specific booking
Get details for a specific schedule
Get details for a specific user
List registered users
List appointments for a schedule
List recent changes to a schedule
List SuperSaaS schedules
Update an existing appointment
Connect SuperSaaS to Vercel AI SDK via MCP
Follow these steps to wire SuperSaaS 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 SuperSaaS MCP Server
Vercel AI SDK provides unique advantages when paired with SuperSaaS 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 SuperSaaS integration everywhere
Built-in streaming UI primitives let you display SuperSaaS 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
SuperSaaS + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the SuperSaaS MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query SuperSaaS in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate SuperSaaS tools and return structured JSON responses to any frontend
Chatbots with tool use: embed SuperSaaS capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with SuperSaaS through natural language queries
Example Prompts for SuperSaaS in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with SuperSaaS immediately.
"List all active schedules in my SuperSaaS account."
"Show me all appointments for this week across all schedules with availability gaps."
"Create a recurring weekly appointment for team standup meetings every Monday at 9 AM."
Troubleshooting SuperSaaS MCP Server with Vercel AI SDK
Common issues when connecting SuperSaaS to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSuperSaaS + Vercel AI SDK FAQ
Common questions about integrating SuperSaaS 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.