How to Use the ClockShark MCP in Vercel AI SDK

Stream field data directly into your Vercel AI SDK interface for live construction project management.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ClockShark MCP to Vercel AI SDK

Create your Vinkius account to connect ClockShark to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup ClockShark with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live job tracking with Vercel AI SDK

Your UI renders job data the moment the `list_jobs` tool returns a response. The user sees project lists populating in real-time without static loading screens. This MCP Server pushes status updates directly into your stream. You get a responsive frontend that tracks site progress as it happens.

Automate timesheet entries for your frontend

Trigger `create_timesheet` from a form submission in your Next.js app. The SDK handles the heavy lifting while the user stays focused on their current task. Everything happens over an HTTP transport. You keep the user in the flow by updating their hours without forcing a page refresh.

Staff management via Vercel AI SDK

Grab specific worker data using `get_employee_details` to populate your dashboard components. It pulls the exact record you need for your UI state. Use `list_employees` to filter your crew list on the fly. You gain full visibility into field attendance directly inside your web app.

Setup guide

Set up ClockShark 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 ClockShark 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 ClockShark transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ClockShark. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect ClockShark now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ClockShark MCP in Vercel AI SDK

Install the MCP client via npm and point it at your Vinkius endpoint. You then pass the tools directly into the generateText function to start making calls.

Yes, it runs over HTTP, which keeps the connection fast. You can stream time entries and job updates as users submit them.

Your API tokens are managed safely by Vinkius. The MCP Server only touches raw time and job logs, never your private account credentials.

Not if you use the Vinkius hosting. You just connect your client and start calling the tools directly.

The server uses V8 isolates to keep overhead low. Your app stays snappy because the data arrives as a stream.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.