How to Use the Homebase MCP in CrewAI

Q: How do I add the Homebase MCP Server to a CrewAI agent?

Install the framework with pip install crewai "crewaitools". You can then pass the server URL directly to your CrewAI agent using the mcps parameter, allowing the agent to use all scheduling tools immediately.

Q: Can I limit which Homebase tools a CrewAI agent can use?

Yes, you can use MCPServerHTTP from the crewai.mcp package along with a toolfilter. This lets you restrict a CrewAI agent to only read listscheduledshifts while blocking access to budget data.

Q: How do multiple CrewAI agents share the Homebase location UUID?

The crew uses shared memory to pass the locationuuid found by listlocations. Once the research agent resolves the ID, the scheduling CrewAI agent uses it to run listtimecards or employee lookups.

Coordinate specialized AI agents to manage shifts, budgets, and clock-ins using the Homebase MCP Server and CrewAI.

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Connect Homebase MCP to CrewAI

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

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Setup Homebase with CrewAI

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Deploy a Dedicated CrewAI Labor Compliance Team

Set up a team of specialized CrewAI agents to monitor your store floor using `get_active_clock_ins` to see who is working right now. One CrewAI agent compares this to the Homebase schedule retrieved via `list_scheduled_shifts` to find missing workers. This CrewAI team operates autonomously, flagging late arrivals and unscheduled overtime. They coordinate using CrewAI shared memory, ensuring your Homebase managers get accurate alerts without manual checking.

Automate Store Budget Auditing

Let your financial CrewAI agents track labor costs by pulling budget limits using `list_labor_budgets`. A logistics CrewAI agent gathers actual hours from `list_timecards` to calculate daily variances. If costs trend too high, the moderator agent suggests adjustments. Because the CrewAI agents use `list_locations` to segment data by branch, you get accurate, location-specific insights.

Coordinate Multi-Location Staffing Shifts

Manage employee schedules across multiple branches without manual spreadsheets by querying `list_employees` and matching roles with `list_defined_roles` using CrewAI MCP tools. Your CrewAI team finds available workers and assigns shifts where coverage is thin. The CrewAI hierarchical execution model ensures that department structures from `list_departments` are respected before any schedules are finalized. This prevents scheduling conflicts and keeps your staffing balanced.

Setup guide

Set up Homebase MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Homebase tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Homebase Analyst",
    goal="Access and analyze Homebase data via MCP.",
    backstory="Expert analyst with direct Homebase access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Homebase transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Homebase Analyst",
        goal="Access and analyze Homebase data via MCP.",
        backstory="Expert analyst with direct Homebase access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Homebase transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 Homebase. 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.

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Common questions about Homebase MCP in CrewAI

Install the framework with `pip install crewai "crewai[tools]"`. You can then pass the server URL directly to your CrewAI agent using the `mcps` parameter, allowing the agent to use all scheduling tools immediately.

Yes, you can use `MCPServerHTTP` from the `crewai.mcp` package along with a `tool_filter`. This lets you restrict a CrewAI agent to only read `list_scheduled_shifts` while blocking access to budget data.

The crew uses shared memory to pass the `location_uuid` found by `list_locations`. Once the research agent resolves the ID, the scheduling CrewAI agent uses it to run `list_timecards` or employee lookups.

CrewAI supports stdio, SSE, and Streamable HTTP transports. This flexibility allows you to run your Homebase crew locally during development or deploy them to a cloud environment for autonomous operations.

Yes, because the server runs in a zero-trust sandbox. The CrewAI agents only interact with the JSON payloads returned by `get_employee_profile` and do not have direct access to your master Homebase database or raw credentials.

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