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Timeero MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Check Timeero Status, Get Timeero Job, Get Timeero Schedule, and more

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Timeero through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

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The Timeero app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

main();
Timeero
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V8 IsolateSandboxed
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Timeero MCP Server

Connect your Timeero account to any AI agent and take full control of your mobile workforce orchestration and high-fidelity time tracking workflows through natural conversation.

The Vercel AI SDK gives every Timeero tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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

  • Timesheet Portfolio Orchestration — List all time log entries, retrieve detailed high-fidelity status metadata, and monitor workforce productivity programmatically
  • Job Pipeline Intelligence — Query defined jobs and projects, retrieve detailed technical metadata, and stay on top of your field operations in real-time
  • Schedule Coordination — Access your complete directory of high-fidelity work schedules and user shifts to optimize workforce distribution directly through your agent
  • User Directory Discovery — Access complete high-fidelity user profiles and team member directories to understand and orchestrate your workforce programmatically
  • Task Catalog Access — Query the complete high-fidelity catalog of assigned tasks and activities to maintain perfect contextual alignment for every shift
  • Operational Monitoring — Verify account-level API connectivity and monitor tracking activity volume directly through your agent for perfectly coordinated service scaling

The Timeero MCP Server exposes 11 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.

All 11 Timeero tools available for Vercel AI SDK

When Vercel AI SDK connects to Timeero through Vinkius, your AI agent gets direct access to every tool listed below — spanning time-tracking, gps-tracking, mobile-workforce, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_timeero_status

Check API Status

get_timeero_job

Get details for a specific job

get_timeero_schedule

Get details for a specific schedule

get_timeero_task

Get details for a specific task

get_timeero_timesheet

Get details for a specific timesheet

get_timeero_user

Get details for a specific user

list_timeero_jobs

List active jobs

list_timeero_schedules

List work schedules

list_timeero_tasks

List available tasks

list_timeero_timesheets

List timesheets

list_timeero_users

List Timeero users

Connect Timeero to Vercel AI SDK via MCP

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

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 11 tools from Timeero and passes them to the LLM

Why Use Vercel AI SDK with the Timeero MCP Server

Vercel AI SDK provides unique advantages when paired with Timeero through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Timeero integration everywhere

03

Built-in streaming UI primitives let you display Timeero tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Timeero + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Timeero MCP Server delivers measurable value.

01

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

02

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

03

Chatbots with tool use: embed Timeero capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Timeero through natural language queries

Example Prompts for Timeero in Vercel AI SDK

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

01

"List all active team members in Timeero."

02

"Show the last 5 timesheets recorded."

03

"Check the available tasks for the 'Repair' job."

Troubleshooting Timeero MCP Server with Vercel AI SDK

Common issues when connecting Timeero to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Timeero + Vercel AI SDK FAQ

Common questions about integrating Timeero MCP Server with Vercel AI SDK.

01

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.
02

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.
03

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.