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DeskTime MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create New Task, Create Project, Get Company Info, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect DeskTime 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

Open in ChatGPT Open in Claude Open in Perplexity

The DeskTime app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 12 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 DeskTime, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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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 DeskTime MCP Server

Connect your DeskTime account to any AI agent and take full control of your workforce management and productivity tracking workflows through natural conversation.

The Vercel AI SDK gives every DeskTime tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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

  • Project & Task Orchestration — List and manage time-tracking projects and individual tasks programmatically to maintain a high-fidelity record of work distribution
  • Team Visibility — Monitor real-time staff activity, including who is currently online and tracking time, to coordinate team availability and throughput
  • Productivity Intelligence — Access comprehensive productivity reports and performance metrics for individual employees or the entire company directly through your agent
  • Workflow Automation — Programmatically create new projects, assign tasks, and mark work as completed to streamline your project management cycle
  • Administrative Oversight — Retrieve detailed company metadata and employee directories to maintain a perfectly coordinated workforce ecosystem

The DeskTime MCP Server exposes 12 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 12 DeskTime tools available for Vercel AI SDK

When Vercel AI SDK connects to DeskTime through Vinkius, your AI agent gets direct access to every tool listed below — spanning time-tracking, workforce-management, productivity-analytics, 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.

create_new_task

Add task to project

create_project

Add new project

get_company_info

Get company details

get_employee_performance

Check employee stats

get_productivity_reports

Check company performance

get_project_details

Get project info

list_employees

List company employees

list_online_staff

Check who is working

list_project_tasks

List tasks in project

list_projects

List DeskTime projects

mark_task_completed

Complete a task

remove_project

Delete a project

Connect DeskTime to Vercel AI SDK via MCP

Follow these steps to wire DeskTime 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 12 tools from DeskTime and passes them to the LLM

Why Use Vercel AI SDK with the DeskTime MCP Server

Vercel AI SDK provides unique advantages when paired with DeskTime 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 DeskTime integration everywhere

03

Built-in streaming UI primitives let you display DeskTime 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

DeskTime + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for DeskTime in Vercel AI SDK

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

01

"Show me a list of all employees currently tracking time."

02

"Check the productivity report for 'last_week'."

03

"Create a new task 'Review MCP API' in project ID '123'."

Troubleshooting DeskTime MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

DeskTime + Vercel AI SDK FAQ

Common questions about integrating DeskTime 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.