How do I get an Everhour API Key?

Log in to your Everhour account, navigate to your user profile settings (top right), and click on **API**. You can find or generate your unique API Key there.

Can the agent start a new timer?

This integration currently focuses on listing and auditing projects, tasks, and time entries. Starting or stopping live timers should be performed via the Everhour browser extension or mobile app.

Does the integration show real-time budget usage?

Yes, you can use the list_projects_within_budget tool to retrieve current budget utilization rates and identify projects that are approaching their limits.

Everhour Time Tracking MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Everhour Time Tracking
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Everhour Time Tracking through the Vinkius — pass the Edge URL in the `mcps` parameter and every Everhour Time Tracking tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Everhour Time Tracking Specialist",
    goal="Help users interact with Everhour Time Tracking effectively",
    backstory=(
        "You are an expert at leveraging Everhour Time Tracking tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Everhour Time Tracking "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Everhour Time Tracking MCP Server

Integrate Everhour, the powerful time tracking and project management software, directly into your AI workflow. Manage your projects and tasks, track real-time time entries and team productivity, monitor project budgets and billing status, and oversee your entire team's workload using natural language.

When paired with CrewAI, Everhour Time Tracking becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Everhour Time Tracking tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

What you can do

Project Oversight — List and retrieve detailed information, budgets, and status for all your tracked projects.
Time Intelligence — Monitor team time records, resolving task IDs, durations, and active user timers in real-time.
Budget Management — Access and monitor project budgets, identifying utilization rates and identifying projects at risk of exceeding limits.
Productivity Auditing — Retrieve high-level summaries of recent time entries, task completion, and organizational account health instantly.

The Everhour Time Tracking MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Everhour Time Tracking to CrewAI via MCP

Follow these steps to integrate the Everhour Time Tracking MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 10 tools from Everhour Time Tracking

Why Use CrewAI with the Everhour Time Tracking MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Everhour Time Tracking through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Everhour Time Tracking + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Everhour Time Tracking MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Everhour Time Tracking for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Everhour Time Tracking, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Everhour Time Tracking tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Everhour Time Tracking against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Everhour Time Tracking MCP Tools for CrewAI (10)

These 10 tools become available when you connect Everhour Time Tracking to CrewAI via MCP:

get_currently_running_timer

Retrieve the task and start time for any currently active timer

get_everhour_user_metadata

Retrieve metadata and profile information for the current Everhour user

get_project_detailed_data

Get detailed settings and budget information for a specific project

list_billing_clients

List all clients configured for project billing and invoicing

list_organization_team_members

List all team members and their roles in the organization

list_project_tasks

List all tasks within a specific project

list_projects_within_budget

Identify projects that are currently within their assigned time or monetary budget

list_team_time_records

List time records for the team within a specific date range

list_tracked_projects

List all projects managed in your Everhour account

quick_time_tracking_audit

Retrieve a high-level summary of recent time entries and active projects

Example Prompts for Everhour Time Tracking in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Everhour Time Tracking immediately.

"List all projects currently over budget."

"Show me the tasks for project 'Mobile App'."

"What is the team productivity summary for this week?"

Troubleshooting Everhour Time Tracking MCP Server with CrewAI

Common issues when connecting Everhour Time Tracking to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Everhour Time Tracking + CrewAI FAQ

Common questions about integrating Everhour Time Tracking MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.