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Hubstaff MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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

main();
Hubstaff
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* 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 Hubstaff MCP Server

Connect your Hubstaff tracking account to any AI agent and bring your entire workforce analytics straight to a conversational interface.

The Vercel AI SDK gives every Hubstaff tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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

  • Track Activities — Investigate how time is allocated pulling detailed tracked activities and daily activity snapshots
  • Workforce Management — Analyze organizations, users, and tasks without toggling native dashboard panels
  • Project Analytics — Determine the list of created projects and fetch precise timesheets for agile billing summaries

The Hubstaff MCP Server exposes 9 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.

How to Connect Hubstaff to Vercel AI SDK via MCP

Follow these steps to integrate the Hubstaff MCP Server with Vercel AI SDK.

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 9 tools from Hubstaff and passes them to the LLM

Why Use Vercel AI SDK with the Hubstaff MCP Server

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

03

Built-in streaming UI primitives let you display Hubstaff 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

Hubstaff + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Hubstaff MCP Tools for Vercel AI SDK (9)

These 9 tools become available when you connect Hubstaff to Vercel AI SDK via MCP:

01

get_organization

Get parameters surrounding an organization

02

get_project

Retrieve single project structure

03

get_user

Fetch targeted user details

04

list_activities

Retrieve global organizational activities logged

05

list_organizations

Retrieve the parent organizations

06

list_projects

Retrieve all active projects linked to an organization

07

list_tasks

Retrieve operational sub-tasks per project

08

list_time_entries

Read explicitly billed or logged temporal time blocks

09

list_users

Retrieve staff and employees under the hub

Example Prompts for Hubstaff in Vercel AI SDK

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

01

"Can you check my Hubstaff dashboard and list the organizations I have access to?"

02

"Retrieve all the timesheets available so I can verify billing."

03

"List today's daily activities tracked in the organization."

Troubleshooting Hubstaff MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Hubstaff + Vercel AI SDK FAQ

Common questions about integrating Hubstaff 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.

Connect Hubstaff to Vercel AI SDK

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.