How to Use the Time MS Converter MCP in Vercel AI SDK

Stop LLM math hallucinations. Stream exact millisecond conversions directly into your Next.js frontend with the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Time MS Converter MCP to Vercel AI SDK

Create your Vinkius account to connect Time MS Converter to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Time MS Converter with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Vercel AI SDK streaming precision

The `convert_time` tool takes human-readable strings like "1.5 days" and returns the exact millisecond count. You pass this straight into your Vercel AI SDK streaming response so the user sees the actual timeout value appear live in the UI. Probabilistic models fail at basic arithmetic. If you let an agent guess the millisecond equivalent of three weeks, it will eventually break a production schedule. This server guarantees deterministic math.

Reverse conversion for UI display

Users hate reading raw integers. Pass a massive millisecond number back to the server and get a clean, human-readable string in return. Edge functions process this instantly. Since the SDK handles the execution asynchronously, your React components update without blocking the main thread or showing a loading spinner.

Drop-in MCP Server integration

Connect the endpoint using createMCPClient and pass the HTTP transport URL. You fetch the available operations via mcpClient.tools() and feed them into generateText or streamText. Clean up your connections. Always call mcpClient.close() when the execution finishes to prevent memory leaks in your serverless environments.

Setup guide

Set up Time MS Converter MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with 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 Time MS Converter tools. Pass them directly to generateText() or streamText() — 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.

index.ts

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 Time MS Converter transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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Why Choose Vinkius

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Common questions about Time MS Converter MCP in Vercel AI SDK

Run npm install ai @ai-sdk/mcp. Initialize the client with HTTP transport and pass the tools to your text generation functions.

Agents cannot write reliable math logic on the fly. This server forces the agent to use a deterministic parser before streaming the final schedule back to the user.

Yes. The HTTP transport layer works natively in edge functions. You just need to handle connection cleanup properly.

It parses standard Western abbreviations. Send "2d", "5 hours", or "3w" and get back the exact integer.

No. The server only processes raw time strings and integers. Vinkius runs this in a V8 Isolate Sandbox that destroys the instance after the execution, leaving zero trace of your inputs.

Use it with your favorite AI tools

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