Cronofy MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cronofy 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 Cronofy, 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 Cronofy MCP Server
Connect your Cronofy account to any AI agent and take full control of your unified calendar and scheduling workflows through natural conversation.
The Vercel AI SDK gives every Cronofy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Unified Event Management — List, retrieve, and create events across aggregated Google, iCloud, and Exchange overlays limitlessly
- Multi-User Availability — Query availability for up to 10 participants simultaneously, calculating strict intersections to find the perfect meeting time
- Free/Busy Auditing — Execute bulk iterations to map time matrices and return exact available boundaries without exposing event payloads
- Automated Scheduling — Generate live-availability links and shared scheduling requests to simplify meeting coordination with external members
- Identity & Profile Mapping — Inspect unified account canonical IDs and list distinct identity providers connected natively to your Cronofy profile
- Sync Control — Irreversibly vaporize explicit validations and delete events to maintain absolute consistency across all connected upstream providers
The Cronofy MCP Server exposes 10 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 Cronofy to Vercel AI SDK via MCP
Follow these steps to integrate the Cronofy 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 10 tools from Cronofy and passes them to the LLM
Why Use Vercel AI SDK with the Cronofy MCP Server
Vercel AI SDK provides unique advantages when paired with Cronofy 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 Cronofy integration everywhere
Built-in streaming UI primitives let you display Cronofy 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
Cronofy + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Cronofy MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Cronofy in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Cronofy tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Cronofy capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Cronofy through natural language queries
Cronofy MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Cronofy to Vercel AI SDK via MCP:
create_event
Provision a highly-available JSON Payload generating explicit Sync links
create_scheduling_request
Fetch elaborate explicit mapped limits via native forms dispatch
delete_event
Irreversibly vaporize explicit validations extracting rich Provider syncs
get_account
Inspect deep internal arrays mitigating specific Sub Provider lists
get_free_busy
Enumerate explicitly attached structured rules exporting active Overlaps
get_user_info
Identify precise active arrays spanning native Gateway auth bounds
list_calendars
Retrieve explicit Cloud logging tracing explicit Payload IDs limitlessly
list_profiles
Retrieve the exact structural matching verifying Blueprint directories
query_availability
Dispatch an automated validation check routing explicit Cross-Provider checks
read_events
cronofy.com/v1/events` pulling unified aggregated Google, iCloud, and Exchange overlays limitlessly. Identify bounded CRM records inside the Headless Cronofy Engine
Example Prompts for Cronofy in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Cronofy immediately.
"List my calendar events from tomorrow to next week"
"Find a 30-minute slot for a meeting with john@example.com tomorrow"
"Create a scheduling link for a 'Project Review' meeting"
Troubleshooting Cronofy MCP Server with Vercel AI SDK
Common issues when connecting Cronofy to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCronofy + Vercel AI SDK FAQ
Common questions about integrating Cronofy 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 Cronofy 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 Cronofy to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.