How to Use the WorkWave MCP in CrewAI

Q: How can I use WorkWave order data with CrewAI?

You assign an agent the getorderdetails tool. The crew then collaborates: one agent reads the details, and another uses that information to call updateorderstatus, completing the task autonomously.

Q: Does WorkWave provide staff info for CrewAI?

Yes. You can expose tools like listfieldemployees or getemployeeprofile. A specialized agent can then use this data to confirm resource availability for a job.

Q: How do I check system health with WorkWave and CrewAI?

Start the workflow by giving an agent access to getapihealth. This ensures that before the team attempts any complex, autonomous tasks, the connection is solid.

Run autonomous WorkWave operations with CrewAI's multi-agent framework.

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Connect WorkWave MCP to CrewAI

Create your Vinkius account to connect WorkWave 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 WorkWave with CrewAI

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Automate Service Order Updates

Set up a team to manage job flow. One agent can read the current state using `get_order_details`, while another uses `update_order_status` to transition it from 'Pending' to 'InProgress.' A third agent monitors the process, ensuring the status change was successful and logging the outcome.

Analyze Client Accounts and Staffing

Delegate tasks across specialized agents. Agent A calls `get_account_details` to research a customer's history, and Agent B uses `list_field_employees` to cross-reference available technicians. The crew shares this memory: the analysis agent sees both the account data and the staffing list simultaneously.

Inventory and Location Management

Need a full job picture? The team can check `list_service_equipment` for assets needed on site, and `list_service_locations` for physical addresses. This allows the crew to autonomously verify that both the materials and the destination exist before initiating any action.

Setup guide

Set up WorkWave 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 WorkWave tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent WorkWave 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="WorkWave Analyst",
        goal="Access and analyze WorkWave data via MCP.",
        backstory="Expert analyst with direct WorkWave access.",
        tools=mcp_tools,
    )

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

You assign an agent the `get_order_details` tool. The crew then collaborates: one agent reads the details, and another uses that information to call `update_order_status`, completing the task autonomously.

Yes. You can expose tools like `list_field_employees` or `get_employee_profile`. A specialized agent can then use this data to confirm resource availability for a job.

The MCP Server provides tools covering everything from account details and service orders to listing equipment assets. This allows your crew to monitor and act across the whole platform.

This server touches customer accounts, employee profiles, service order records, and physical locations. It's a complete set of field service data for your crew to work with.

Start the workflow by giving an agent access to `get_api_health`. This ensures that before the team attempts any complex, autonomous tasks, the connection is solid.

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