How to Use the Workast MCP in CrewAI

Q: How do I manage projects in Workast using CrewAI?

You define a specialized 'Project Agent' that can call listspaces to see all available work areas. It uses the MCP Server tools to gather details and build reports automatically.

Q: Can I automate task updates in Workast with CrewAI?

Yes, you assign a 'Maintenance Agent' the tool updatetask. This agent runs autonomously, checking for tasks that need status changes—say, marking them complete—without needing a trigger.

Q: What is the best way to list users in Workast with CrewAI?

Assign a dedicated 'Directory Agent' to call listusers. This agent runs independently, providing a continually updated roster of team members that other agents can reference for planning.

Q: Does Workast support task deletion when using CrewAI?

The MCP Server exposes the deletetask tool. You'd give this tool to an 'Archivist Agent,' which would run on a schedule to clean up old, irrelevant tasks automatically.

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Connect Workast MCP to CrewAI

Create your Vinkius account to connect Workast 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 Workast with CrewAI

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Automated Space Discovery with CrewAI

Agent A researches the available work areas by calling `list_spaces`. Agent B then takes that list and uses `get_space` on each one to pull detailed summaries. The result is a complete, analyzed view of every Workast space, without needing human intervention.

Role-Based Task Creation with CrewAI MCP Server

A specialized 'Task Manager' agent can create new work items by calling `create_task`. This agent will also use `list_tasks` to verify that the task didn't already exist. The process is autonomous: one agent identifies the need, and another executes the creation using the MCP Server.

User and Team Monitoring with CrewAI

The 'Monitor Agent' watches team membership by calling `list_users`. Meanwhile, the 'Moderator Agent' can use `get_team_info` to verify roles for escalation. This allows you to build autonomous monitoring systems that keep tabs on who works with Workast and what their permissions are.

Setup guide

Set up Workast 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 Workast tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You define a specialized 'Project Agent' that can call `list_spaces` to see all available work areas. It uses the MCP Server tools to gather details and build reports automatically.

Yes, you assign a 'Maintenance Agent' the tool `update_task`. This agent runs autonomously, checking for tasks that need status changes—say, marking them complete—without needing a trigger.

Assign a dedicated 'Directory Agent' to call `list_users`. This agent runs independently, providing a continually updated roster of team members that other agents can reference for planning.

The MCP Server exposes the `delete_task` tool. You'd give this tool to an 'Archivist Agent,' which would run on a schedule to clean up old, irrelevant tasks automatically.

This server manages structured records like user accounts, team roles, and project task statuses. The agents use these precise definitions to coordinate their actions.

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