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Homebase MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Homebase 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 Homebase, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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About Homebase MCP Server

Connect your Homebase (joinhomebase.com) account to any AI agent and take full control of your employee scheduling, time tracking, and team management through natural conversation.

The Vercel AI SDK gives every Homebase 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

  • Location Oversight — List all business locations and retrieve unique identifiers for multi-site management.
  • Employee Management — Access lists of employees for specific locations and retrieve detailed profile information.
  • Schedule Monitoring — List scheduled shifts and retrieve upcoming agendas to ensure adequate coverage.
  • Time Tracking — Monitor actual hours worked by retrieving timecard entries, including clock-in/out times.
  • Real-time Presence — Instantly check which employees are currently clocked in at a specific location.
  • Role & Department Tracking — List defined roles and departments to understand your team structure.
  • Operational Efficiency — Retrieve labor budget configurations to stay aligned with your operational costs.

The Homebase 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.

How to Connect Homebase to Vercel AI SDK via MCP

Follow these steps to integrate the Homebase 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 10 tools from Homebase and passes them to the LLM

Why Use Vercel AI SDK with the Homebase MCP Server

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

03

Built-in streaming UI primitives let you display Homebase 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

Homebase + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Homebase MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Homebase to Vercel AI SDK via MCP:

01

get_active_clock_ins

List all employees currently clocked in at a specific location

02

get_api_profile

Retrieve information about the authenticated user and plan status

03

get_employee_profile

Get detailed information for a specific employee

04

list_defined_roles

List all roles (e.g., Manager, Server) defined for a location

05

list_departments

List all departments configured for a location

06

list_employees

List all employees for a specific location

07

list_labor_budgets

Retrieve labor budget configurations for a location

08

list_locations

Use this to find the "location_uuid" required for all other tools. List all business locations associated with the Homebase account

09

list_scheduled_shifts

List scheduled shifts for employees at a specific location

10

list_timecards

Useful for monitoring actual hours worked. List timecard entries (timesheets) for a specific location

Example Prompts for Homebase in Vercel AI SDK

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

01

"List all business locations and find the UUID for 'Downtown Cafe'."

02

"Who is currently clocked in at the Downtown Cafe?"

03

"Show the scheduled shifts for next Wednesday."

Troubleshooting Homebase MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Homebase + Vercel AI SDK FAQ

Common questions about integrating Homebase 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 Homebase to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.