How to Use the WorkflowMax MCP in CrewAI

Q: What is the best way to check active projects with WorkflowMax and CrewAI?

The 'Monitor Agent' should use listjobs. This tool gives a comprehensive view of every job, letting your autonomous operations know exactly what needs attention.

Q: How can I log work time using WorkflowMax and CrewAI?

The 'Timekeeper Agent' uses the createtimesheet function. It requires three things: the job UUID, a task UUID, and the hours worked to record progress.

Q: If I need to list all tasks or projects with WorkflowMax and CrewAI, what tools are available?

You have listjobs for project overviews and listtasks if you only need the service units assigned to those jobs. This keeps your data filtering precise.

Q: When using WorkflowMax and CrewAI, what must I do to get initial client details?

Use getclient to fetch a specific client's information by ID. If you only need the contact info for that client, use getclientcontact.

Run autonomous operations with CrewAI and WorkflowMax MCP Server.

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Setup WorkflowMax with CrewAI

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Coordinate New Client Setup via MCP Server

When setting up a new client, the 'Intake Agent' calls `create_client` using the company name. This creates the foundational record for the team. The 'Admin Agent' then uses `get_client_contact` to pull specific contact details related to that UUID, ensuring all necessary personnel data is available.

Manage Project Lifecycle with CrewAI

The 'Project Lead Agent' initiates work by calling `create_job`, passing the required name and client ID. This starts the job record in WorkflowMax. Later, the 'Timekeeper Agent' updates progress using `create_timesheet`, logging hours based on the job UUID and task unit.

Audit Operations with Multi-Agent Oversight

The entire team can check status by calling `list_jobs` for a project overview. To audit past work, the 'Auditor Agent' runs `list_timesheets`, pulling all recorded logs into shared memory. This allows for sophisticated monitoring and reporting without manual intervention.

Setup guide

Set up WorkflowMax 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 WorkflowMax tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

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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="WorkflowMax Analyst",
        goal="Access and analyze WorkflowMax data via MCP.",
        backstory="Expert analyst with direct WorkflowMax access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent WorkflowMax 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 WorkflowMax. 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 WorkflowMax MCP in CrewAI

The 'Monitor Agent' should use `list_jobs`. This tool gives a comprehensive view of every job, letting your autonomous operations know exactly what needs attention.

The 'Timekeeper Agent' uses the `create_timesheet` function. It requires three things: the job UUID, a task UUID, and the hours worked to record progress.

This MCP Server handles client records (names), contact details, specific project identifiers (UUIDs for jobs/tasks), and recorded time duration. All is structured business data.

You have `list_jobs` for project overviews and `list_tasks` if you only need the service units assigned to those jobs. This keeps your data filtering precise.

Use `get_client` to fetch a specific client's information by ID. If you only need the contact info for that client, use `get_client_contact`.

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