Time MS Converter MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 1 tools to Convert Time

Name: Time MS Converter
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Time MS Converter 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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The Time MS Converter MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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typescript

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 Time MS Converter, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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About Time MS Converter MCP Server

When an Orchestration AI Agent needs to schedule a task in Redis, set an API timeout, or run a background job, it needs exact milliseconds. Asking an LLM to calculate '2.5 days + 14 hours in milliseconds' often results in incorrect math, causing infrastructure failures. This MCP solves that perfectly.

The Vercel AI SDK gives every Time MS Converter tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

The Superpowers

Exact Conversion: Uses Vercel's industry-standard ms package (137M+ weekly downloads) to instantly convert human strings like "2 days", "10h", or "1m" into exact millisecond integers.
Bidirectional Support: Can also convert raw milliseconds back into a human-readable string.

The Time MS Converter MCP Server exposes 1 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 Time MS Converter tools available for Vercel AI SDK

When Vercel AI SDK connects to Time MS Converter through Vinkius, your AI agent gets direct access to every tool listed below — spanning time-conversion, milliseconds, scheduling, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

convert

Convert time on Time MS Converter

Also works in reverse: pass a raw millisecond number as a string to get the human-readable equivalent. Converts human-readable time strings (e.g. "2 days", "10h") to exact milliseconds. Essential for AI Agents scheduling DevOps tasks or setting API timeouts

Connect Time MS Converter to Vercel AI SDK via MCP

Follow these steps to wire Time MS Converter into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 1 tools from Time MS Converter and passes them to the LLM

Why Use Vercel AI SDK with the Time MS Converter MCP Server

Vercel AI SDK provides unique advantages when paired with Time MS Converter 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 Time MS Converter integration everywhere

Built-in streaming UI primitives let you display Time MS Converter 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

Time MS Converter + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Time MS Converter MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Time MS Converter in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Time MS Converter tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Time MS Converter capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Time MS Converter through natural language queries

Example Prompts for Time MS Converter in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Time MS Converter immediately.

"Convert `2 days` to milliseconds so I can schedule this job in Redis."

"I need the exact millisecond integer for `1.5h` to set an API timeout."

"What does the delay `172800000` mean in human terms?"

Troubleshooting Time MS Converter MCP Server with Vercel AI SDK

Common issues when connecting Time MS Converter to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Time MS Converter + Vercel AI SDK FAQ

Common questions about integrating Time MS Converter MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import 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?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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