Skedda MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Skedda through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Skedda, 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 Skedda MCP Server
Connect your Skedda workspace to any AI agent to completely fully automate facility management and space scheduling. Handle your entire booking lifecycle through natural language conversations.
The Vercel AI SDK gives every Skedda tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Space & Venue Discovery — List all available physical spaces, venues, and their categorized groups (e.g., Office Hot Desks, Boardrooms)
- Booking Operations — Retrieve your current schedule, or instantly create, update, and delete reservations natively
- User Management — Look up fellow employees, customers, or members in the directory to assign them to bookings
- Availability Tracking — Filter your list of reservations by specific timeframes (ISO 8601) to identify empty slots
The Skedda MCP Server exposes 9 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.
How to Connect Skedda to Vercel AI SDK via MCP
Follow these steps to integrate the Skedda MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 9 tools from Skedda and passes them to the LLM
Why Use Vercel AI SDK with the Skedda MCP Server
Vercel AI SDK provides unique advantages when paired with Skedda 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 Skedda integration everywhere
Built-in streaming UI primitives let you display Skedda 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
Skedda + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Skedda MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Skedda in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Skedda tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Skedda capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Skedda through natural language queries
Skedda MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Skedda to Vercel AI SDK via MCP:
create_booking
Requires space ID, user ID, and start/end times. Creates a new booking
delete_booking
This action is irreversible. Permanently deletes a booking
get_booking_details
Retrieves details for a specific booking
list_bookings
You can filter by date range. Lists all bookings in Skedda
list_space_categories
g., "Meeting Rooms", "Desks"). Lists space categories
list_spaces
Lists all available spaces
list_users
Lists all users in the Skedda account
list_venues
Lists all venues
update_booking
Updates an existing booking
Example Prompts for Skedda in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Skedda immediately.
"List all meeting room zones and internal spaces we have available."
"Can you book 'Focus Pod 1' for tomorrow from 10:00 AM to 12:00 PM for user Marc Smith?"
"Cancel all bookings scheduled for the 'Training Center' on Friday."
Troubleshooting Skedda MCP Server with Vercel AI SDK
Common issues when connecting Skedda to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSkedda + Vercel AI SDK FAQ
Common questions about integrating Skedda 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.Connect Skedda with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Skedda to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
