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ClockShark MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Create Job, Create Shift, Create Task, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ClockShark 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 ClockShark app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 10 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 ClockShark, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
ClockShark
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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 ClockShark MCP Server

Connect your ClockShark account to any AI agent and take full control of your field service workforce and time-tracking workflows through natural conversation.

The Vercel AI SDK gives every ClockShark tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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 Orchestration — List and manage individual time tracking entries programmatically, retrieving detailed historical clock-in/out records and location metadata
  • Schedule & Shift Intelligence — Create and monitor work shifts and job assignments in real-time to maintain a perfectly coordinated field operation
  • Employee Lifecycle Management — Access complete employee profiles and retrieve directories of active or inactive staff to oversee team distribution
  • Job & Task Architecture — Programmatically manage your directory of service jobs and project codes to ensure your crew always has the high-fidelity info they need
  • Productivity Monitoring — Monitor labor costs and project progress by creating new service tasks and tracking work types directly through your agent

The ClockShark MCP Server exposes 10 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 10 ClockShark tools available for Vercel AI SDK

When Vercel AI SDK connects to ClockShark through Vinkius, your AI agent gets direct access to every tool listed below — spanning time-tracking, gps-tracking, timesheets, 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_job

Add a new job/project

create_shift

Schedule a new shift

create_task

Add a new work task

create_timesheet

Manually add a time entry

get_employee_details

Get details for a staff member

list_employees

List all employees

list_jobs

List all jobs/projects

list_schedules

List employee shifts

list_tasks

List all service tasks

list_timesheets

List time tracking entries

Connect ClockShark to Vercel AI SDK via MCP

Follow these steps to wire ClockShark 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 10 tools from ClockShark and passes them to the LLM

Why Use Vercel AI SDK with the ClockShark MCP Server

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

03

Built-in streaming UI primitives let you display ClockShark 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

ClockShark + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for ClockShark in Vercel AI SDK

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

01

"List all active employees in my ClockShark account."

02

"Schedule a shift for 'John' (ID: 123) for tomorrow from 8 AM to 5 PM."

03

"Show the timesheets for 'last_week'."

Troubleshooting ClockShark MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

ClockShark + Vercel AI SDK FAQ

Common questions about integrating ClockShark 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.