How to Use the TimezoneDB MCP in Vercel AI SDK
Pipe real-time global offsets and local times straight to your frontend with the TimezoneDB MCP Server for Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect TimezoneDB MCP to Vercel AI SDK
Create your Vinkius account to connect TimezoneDB to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Gemini
Key Capabilities
Live Timezone Rendering in Vercel AI SDK
This MCP Server lets your application fetch exact geographical times using `get_time_by_location` without blocking the main execution thread. Your frontend receives coordinate-based times and updates the user interface instantly. By feeding this tool to `streamText`, the AI client displays localized times to the user as they type, bypassing traditional loading spinners. The edge-compatible client processes the coordinates and renders the clock live.
Dynamic DST Adjustments
The `get_dst_status` tool provides instant verification of daylight saving offsets for any target region. Your application uses this status to adjust user schedules on the fly during active transitions. When users request scheduling changes in your React components, the Vercel AI SDK calls this endpoint to prevent scheduling errors. The agent evaluates the active offset and outputs the corrected time structure directly into your UI.
Global Zone Audits
Using `list_timezones` and `get_time_by_zone` allows your application to audit and display global offsets side-by-side. Your agent parses the entire database to match country codes with active local times. The server also provides `check_api_status` to ensure your streaming UI never hangs during external API latency spikes. If the status check fails, your Next.js frontend gracefully falls back to cached local system times.
Set up TimezoneDB MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all TimezoneDB tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent TimezoneDB transactions",
});
console.log(text);
await mcpClient.close();Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TimezoneDB. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about TimezoneDB MCP in Vercel AI SDK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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