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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Homebase
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Homebase as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Homebase. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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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 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.

LlamaIndex agents combine Homebase tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Homebase MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the Homebase MCP Server

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

Data-first architecture: LlamaIndex agents combine Homebase tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Homebase tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Homebase, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Homebase tools were called, what data was returned, and how it influenced the final answer

Homebase + LlamaIndex Use Cases

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

Hybrid search: combine Homebase real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Homebase to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Homebase for fresh data

Analytical workflows: chain Homebase queries with LlamaIndex's data connectors to build multi-source analytical reports

Homebase MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Homebase to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Homebase + LlamaIndex FAQ

Common questions about integrating Homebase MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Homebase tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.