How to Use the ClockShark MCP in CrewAI

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Connect ClockShark MCP to CrewAI

Create your Vinkius account to connect ClockShark 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 ClockShark with CrewAI

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Autonomous shifts with CrewAI

Assign a scheduling agent to monitor your projects and call `create_shift` as needed. It works alongside your other agents to keep the site running. The crew coordinates these actions automatically. One agent researches the job status while another schedules the crew to cover it.

Real-time timesheet logging with CrewAI

Configure an agent to process field reports and use `create_timesheet` to save the results. It keeps your records accurate without you lifting a finger. This MCP Server acts as the interface for your agents. You define the roles, and they perform the data entry against your account.

Project cost tracking with CrewAI

Give your analyst agent access to `list_timesheets` and `list_jobs`. It can calculate costs and report back if a project exceeds the budget. Agents share memory to keep track of the totals. You get a birds-eye view of your labor expenses across all active sites.

Setup guide

Set up ClockShark 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 ClockShark tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent ClockShark 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 ClockShark. 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.

Why Choose Vinkius

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Common questions about ClockShark MCP in CrewAI

Pass the Vinkius URL directly into the agent configuration. The MCP protocol handles the communication between your crew and the server.

Yes, the agents share access to the tool set. You can assign different tools to different agents based on their specific role in the crew.

Vinkius handles all auth at the endpoint level. The server restricts access to only the specific employee and job records required for the task.

The server logs the response and your agents can be programmed to handle the error. You can set up a moderator agent to review the failed calls.

No, it connects to your existing account. It uses the tools to read and write directly to your live production data.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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