How to Use the ClickTime MCP in CrewAI

Deploy specialized CrewAI agent teams to monitor timesheets, audit project hours, and manage ClickTime tasks autonomously.

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Connect ClickTime MCP to CrewAI

Create your Vinkius account to connect ClickTime 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 ClickTime with CrewAI

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Audit Team Performance Autonomously with CrewAI

CrewAI lets you set up a multi-agent team where one agent acts as a timesheet auditor and another acts as a project manager. The auditor agent can call `list_time_entries` to extract weekly hours, while the manager agent compares them against active budgets. Because CrewAI agents share memory, they can pass these project details back and forth. The auditor can hand off anomalous logs to a supervisor agent, who then runs `get_my_clicktime_profile` to verify the user's role before flagging the entry.

Coordinate ClickTime Projects and Jobs

Managing active accounts across large teams requires constant coordination. Your agents can run `list_clicktime_clients` and `list_clicktime_projects` to map out active client structures without manual oversight. When a new job code is added, your crew can automatically detect it by running `list_clicktime_jobs`. The agents then cross-reference this with your internal project lists to ensure your tracking categories stay perfectly aligned.

Extract High-Volume Time Reports

Processing large datasets is simple when your agents divide the work. One agent can execute `get_high_volume_time_report` to pull up to 2,500 records of raw billing logs. A separate analyst agent then takes that massive dataset, identifies trends, and runs `list_clicktime_tasks` to see which work types are consuming the most budget. This lets your crew compile detailed productivity briefs entirely on autopilot.

Setup guide

Set up ClickTime 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 ClickTime tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You can pass the Vinkius endpoint URL directly into your agent's `mcps` array during initialization. CrewAI automatically discovers the available tools, allowing your agents to run `list_time_entries` right out of the box.

Yes, CrewAI's shared memory allows different agents to collaborate using the same MCP toolset. For instance, one agent can run `list_clicktime_users` to find staff IDs, and another can use those IDs to pull specific records.

You can assign a specialized analyst agent to handle the output of `get_high_volume_time_report`. By delegating this task, your main coordinator agent stays free while the analyst parses the 2,500 records.

Yes, you can structure your crew to run tasks in a strict sequence. The first agent can run `list_clicktime_projects` to gather active project IDs, passing them to the next agent who queries `list_clicktime_jobs` to verify active work codes.

All interactions with your project lists, user profiles, and timesheet logs are executed within an isolated V8 sandbox on Vinkius. Your sensitive client details fetched via `list_clicktime_clients` are never cached or stored, ensuring your workspace data remains completely confidential.

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