TimezoneDB MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect TimezoneDB 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 TimezoneDB, 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 TimezoneDB MCP Server
Empower your AI agent to orchestrate your entire global time and timezone research workflow with TimezoneDB, the authoritative source for world clock data. By connecting TimezoneDB to your agent, you transform complex offset lookups into a natural conversation. Your agent can instantly retrieve current time for any zone, audit daylight saving statuses, and identify regional time variations without you ever touching a manual converter. Whether you are planning international calls or building global scheduling systems, your agent acts as a real-time time consultant, ensuring your data is always precise and synchronized.
The Vercel AI SDK gives every TimezoneDB tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 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
- Time Auditing — Retrieve the exact current time for over 400 timezones and maintain a clear view of global offsets.
- Location Oversight — Query timezone details based on geographic coordinates to understand local time patterns instantly.
- Zone Discovery — List all supported timezones by country to identify regional variations and abbreviations.
- DST Intelligence — Check if daylight saving time is currently active for any zone to assist in precise scheduling.
- Spatial Discovery — Retrieve latitude and longitude metadata for specific zones to maintain spatial context.
The TimezoneDB MCP Server exposes 5 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 TimezoneDB to Vercel AI SDK via MCP
Follow these steps to integrate the TimezoneDB 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 5 tools from TimezoneDB and passes them to the LLM
Why Use Vercel AI SDK with the TimezoneDB MCP Server
Vercel AI SDK provides unique advantages when paired with TimezoneDB 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 TimezoneDB integration everywhere
Built-in streaming UI primitives let you display TimezoneDB 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
TimezoneDB + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the TimezoneDB MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query TimezoneDB in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate TimezoneDB tools and return structured JSON responses to any frontend
Chatbots with tool use: embed TimezoneDB capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with TimezoneDB through natural language queries
TimezoneDB MCP Tools for Vercel AI SDK (5)
These 5 tools become available when you connect TimezoneDB to Vercel AI SDK via MCP:
check_api_status
Check if the TimezoneDB API is operational
get_dst_status
Check if daylight saving time is currently active for a zone
get_time_by_location
Get current time for specific geographic coordinates
get_time_by_zone
g., "America/New_York. Get current time and details for a specific timezone (e.g., "America/New_York")
list_timezones
List all supported timezones, optionally filtered by country
Example Prompts for TimezoneDB in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with TimezoneDB immediately.
"What is the current time in 'Asia/Tokyo' using TimezoneDB?"
"Check time for latitude 40.7128, longitude -74.0060."
"List all timezones in 'Brazil'."
Troubleshooting TimezoneDB MCP Server with Vercel AI SDK
Common issues when connecting TimezoneDB to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTimezoneDB + Vercel AI SDK FAQ
Common questions about integrating TimezoneDB 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 TimezoneDB 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 TimezoneDB to Vercel AI SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.