How to Use the Everhour Time Tracking MCP in CrewAI

Q: How do I assign Everhour Time Tracking tools to specific CrewAI agents?

Pass the MCP Server URL in the mcps list of your Agent definition. You can assign the auditing tools to your finance agent while keeping project tools restricted to your project manager agent.

Q: Can a CrewAI supervisor agent monitor Everhour Time Tracking budgets?

Yes. In a hierarchical crew, the supervisor agent calls listprojectswithinbudget to check limits. It then delegates detailed analysis to subordinate agents using getprojectdetaileddata.

Q: How do I connect Everhour Time Tracking to a CrewAI team running locally?

Use the MCPServerHTTP class from crewai.mcp to connect to your Vinkius MCP Server endpoint. This lets your local python agents run tools like listtrackedprojects securely over HTTP.

Deploy specialized agent teams that coordinate to audit hours and manage Everhour budgets autonomously with CrewAI.

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Connect Everhour Time Tracking MCP to CrewAI

Create your Vinkius account to connect Everhour Time Tracking 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 Everhour Time Tracking with CrewAI

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Autonomous team audits with CrewAI

The `quick_time_tracking_audit` tool gives your CrewAI agent teams immediate access to workspace activity summaries. A specialized auditor agent runs this tool to spot missing hours, while a coordinator agent drafts updates. By using shared memory, the auditor agent passes tracking gaps to a manager agent. The manager agent then uses `list_organization_team_members` to find the correct contacts and request missing details.

Multi-agent project budget monitoring

The `list_projects_within_budget` tool enables your CrewAI financial agents to track project limits. This MCP Server allows CrewAI financial agents to track project limits. One agent monitors the overall budget list, while another pulls deep metrics using `get_project_detailed_data`. Because CrewAI supports hierarchical execution, a supervisor agent can review these budget metrics. This supervisor decides when to alert human managers or adjust project tasks if a milestone runs hot.

Collaborative task and time analysis

The `list_project_tasks` tool lets your developer-agent crew analyze task workloads. The crew compares open tasks against logged hours to see if projects are moving at the expected pace. Using `list_team_time_records`, a researcher agent compiles time spent per task. The analyst agent then crunches these numbers, outputting a clear report on team efficiency directly to your terminal.

Setup guide

Set up Everhour Time Tracking 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 Everhour Time Tracking tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Everhour Time Tracking 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 Everhour Time Tracking. 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 Everhour Time Tracking MCP in CrewAI

Pass the MCP Server URL in the `mcps` list of your Agent definition. You can assign the auditing tools to your finance agent while keeping project tools restricted to your project manager agent.

Yes. In a hierarchical crew, the supervisor agent calls `list_projects_within_budget` to check limits. It then delegates detailed analysis to subordinate agents using `get_project_detailed_data`.

Use the `MCPServerHTTP` class from `crewai.mcp` to connect to your Vinkius MCP Server endpoint. This lets your local python agents run tools like `list_tracked_projects` securely over HTTP.

Yes. CrewAI coordinates tool usage across your agent team. While one agent checks active timers, another can simultaneously list project tasks without resource conflicts.

Your project settings, task lists, and time entries are handled securely. The MCP Server runs in an ephemeral sandbox on Vinkius, ensuring your data is never stored or used to train external models.

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