How do I obtain my Homebase API Key?

Log in to Homebase as an Owner, ensure you are on the 'All in One' plan, navigate to **Settings > API Access**, and click **Request API Key**. Your key will typically be approved within one business day.

Is the Homebase API read-only?

Yes, as of current documentation, the Homebase public API provides read-only access to locations, employees, timecards, and schedules. Writing data (like creating shifts) must be done through the web dashboard or official POS/Payroll integrations.

How can I see who is currently working?

Use the `get_active_clock_ins` tool with your location UUID. It filters current timecards to show only employees who have clocked in but not yet clocked out for the day.

Is the integration secure for managing employee data?

Absolutely. The integration uses official Homebase Bearer tokens over HTTPS. Your credentials and sensitive employee information are encrypted and stored securely within the Vinkius Cloud infrastructure.

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

Name: Homebase
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Homebase through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Homebase "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Homebase?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 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.

Pydantic AI validates every Homebase tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Homebase MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Homebase with type-safe schemas

Why Use Pydantic AI with the Homebase MCP Server

Pydantic AI provides unique advantages when paired with Homebase through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Homebase integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Homebase connection logic from agent behavior for testable, maintainable code

Homebase + Pydantic AI Use Cases

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

Type-safe data pipelines: query Homebase with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Homebase tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Homebase and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Homebase responses and write comprehensive agent tests

Homebase MCP Tools for Pydantic AI (10)

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

get_active_clock_ins

List all employees currently clocked in at a specific location

get_api_profile

Retrieve information about the authenticated user and plan status

get_employee_profile

Get detailed information for a specific employee

list_defined_roles

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

list_departments

List all departments configured for a location

list_employees

List all employees for a specific location

list_labor_budgets

Retrieve labor budget configurations for a location

list_locations

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

list_scheduled_shifts

List scheduled shifts for employees at a specific location

list_timecards

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

Example Prompts for Homebase in Pydantic AI

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

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

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

"Show the scheduled shifts for next Wednesday."

Troubleshooting Homebase MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Homebase + Pydantic AI FAQ

Common questions about integrating Homebase MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Homebase MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.