How to Use the Worksection MCP in CrewAI

Q: How do I find tasks in Worksection using CrewAI?

The agent uses listprojecttasks for a simple list. For deep dives, it can call gettaskdetails on specific IDs to pull out all the required information.

Q: Can I check work history in Worksection using CrewAI?

Yes. Running listworkhistory feeds an event log to the monitor agent. This allows it to analyze sequence and time stamps to report on activity changes.

Q: How do I manage timers in Worksection using CrewAI?

One agent can use listactivetimers to check running sessions. Another agent uses stoptimer when the work is done, ensuring the time records are accurate.

Q: Does Worksection support listing project members with CrewAI?

The specialized team member agent calls listprojectmembers. This provides a definitive list of who belongs to which project within your autonomous operation.

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Connect Worksection MCP to CrewAI

Create your Vinkius account to connect Worksection 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 Worksection with CrewAI

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Automating Task Management Cycles

Give your agents the ability to manage tasks. The `create_task` tool allows a specialized agent to log new work items. Another agent can later use `get_task_details` to verify all required fields were filled out before marking it complete.

Comprehensive Project Oversight

Monitoring the entire workspace? The `list_projects` tool allows a monitor agent to gather names and IDs for all projects. A dedicated analysis agent can then take that list and check specific project details using `get_project_details`.

Tracking Team Assignments

The team manager agent uses `list_project_members` to build a full roster for any given project. It can then cross-reference this list with the general user directory using `list_all_users` to ensure proper permissions.

Setup guide

Set up Worksection 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 Worksection tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Worksection transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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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="Worksection Analyst",
        goal="Access and analyze Worksection data via MCP.",
        backstory="Expert analyst with direct Worksection access.",
        tools=mcp_tools,
    )

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

The agent uses `list_project_tasks` for a simple list. For deep dives, it can call `get_task_details` on specific IDs to pull out all the required information.

The server manages project metadata, task records, user profiles, and time logs. The agents process these collections of structured data types.

Yes. Running `list_work_history` feeds an event log to the monitor agent. This allows it to analyze sequence and time stamps to report on activity changes.

One agent can use `list_active_timers` to check running sessions. Another agent uses `stop_timer` when the work is done, ensuring the time records are accurate.

The specialized team member agent calls `list_project_members`. This provides a definitive list of who belongs to which project within your autonomous operation.

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