How to Use the timeghost MCP in CrewAI
Coordinate specialized agents in CrewAI to manage your team's time tracking operations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect timeghost MCP to CrewAI
Create your Vinkius account to connect timeghost to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Collaborative tracking with CrewAI agents
Assign a researcher agent to fetch project details using `get_timeghost_project` while a moderator agent verifies the entries. This allows your crew to handle complex tracking tasks without human oversight. By leveraging shared memory, your agents can hand off data from `list_timeghost_projects` to the next agent in the sequence. Each agent only sees what it needs to complete its specific part of the operation.
Hierarchical management of time logs
Set up a lead agent that manages the entire workspace using `list_timeghost_workspaces`. It can delegate specific entry tasks to sub-agents, ensuring a clean division of labor. This structure is perfect for auditing. The lead agent uses `list_timeghost_entries` to gather the week's logs, then passes them to an analyst agent for validation.
Automated reporting through specialized roles
Create a report-generator agent that pulls lists of clients via `list_timeghost_clients`. It can compile this data into a summary for your management team, saving hours of manual admin work. Your agents can also use `list_timeghost_members` to track individual performance against set goals. This gives you a clear picture of team velocity without manual reporting.
Set up timeghost MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke timeghost tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="timeghost Analyst",
goal="Access and analyze timeghost data via MCP.",
backstory="Expert analyst with direct timeghost access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent timeghost transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="timeghost Analyst",
goal="Access and analyze timeghost data via MCP.",
backstory="Expert analyst with direct timeghost access.",
tools=mcp_tools,
)
task = Task(
description="List recent timeghost transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by timeghost. 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 timeghost MCP in CrewAI
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