How to Use the Clockify MCP in CrewAI

Q: How do I connect this Clockify MCP Server to a CrewAI agent?

Pass the server URL directly in the agent's mcps list. The agent automatically gains access to tools like addnewtimeentry for autonomous logging.

Q: Can a CrewAI agent stop a running timer for a specific user?

Yes. A manager agent can call stopcurrenttimer for any user in the workspace, provided the API token has the correct admin permissions.

Deploy specialized teams of CrewAI agents to audit, log, and manage Clockify workspaces autonomously.

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Connect Clockify MCP to CrewAI

Create your Vinkius account to connect Clockify 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 Clockify with CrewAI

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Specialized team auditing of team hours

Let specialized CrewAI teams handle your timesheet reviews. An auditor agent uses `list_user_time_entries` to pull records, while a supervisor agent compares them against project allocations. They share context across runs. By accessing `list_workspace_users`, the CrewAI crew maps active team members and flags anyone who forgot to log their Clockify hours.

Autonomous project setup with CrewAI

Stop manually configuring workspaces for new clients. This MCP Server lets your CrewAI setup crew run `list_workspace_clients` to find the target, then verify active projects using `list_workspace_projects`. The CrewAI agents coordinate their actions. One agent identifies missing client folders, while another prepares the system to accept incoming Clockify `add_new_time_entry` calls.

Automated afternoon timer cleanups

Clean up stale timers at the end of the day. A dedicated CrewAI monitoring agent runs on a schedule to check who is still clocked in across your Clockify workspaces. It takes action when needed. The CrewAI agent calls `stop_current_timer` to prevent runaway hours from bloating your Clockify billing reports.

Setup guide

Set up Clockify 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 Clockify tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL directly in the agent's `mcps` list. The agent automatically gains access to tools like `add_new_time_entry` for autonomous logging.

Yes. CrewAI's shared memory allows one agent to fetch workspaces using `list_clockify_workspaces` and pass that target ID to another agent.

The MCP Server coordinates requests safely. When multiple agents call `list_user_time_entries` simultaneously, the server manages the queue to prevent API blocks.

Yes. A manager agent can call `stop_current_timer` for any user in the workspace, provided the API token has the correct admin permissions.

Your API keys are kept strictly in your local environment. This server processes `list_clockify_workspaces` calls locally, ensuring no third party sees your project structures.

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