How to Use the ClickUp MCP in CrewAI

Q: How do I limit which ClickUp tools a CrewAI agent can access?

You can use the MCPServerHTTP class from crewai.mcp along with a toolfilter to restrict access. This lets you prevent a writer agent from calling deletetask, for example.

Deploy autonomous agent teams to manage your ClickUp workspace using CrewAI and this MCP Server.

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Connect ClickUp MCP to CrewAI

Create your Vinkius account to connect ClickUp 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 ClickUp with CrewAI

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Autonomous Task Delegation with CrewAI

The `create_task` tool enables your project manager agent to assign work to other agents or human team members. CrewAI coordinates this by letting one agent plan the sprint and another execute the task creation. This MCP Server gives your crew the ability to structure their own workspace. They can build a tracking system from scratch based on high-level goals you input.

Collaborative Workspace Audits

The `list_workspaces` tool allows a researcher agent to map out all active environments before starting a project. Once the workspaces are identified, a coordinator agent takes over to audit the structure. By calling `list_spaces` and `list_lists`, the agents build a shared memory map of where work is happening. This prevents duplicate tasks from being created across different teams.

Multi-Agent Task Resolution

The `get_task_details` tool gives your analyst agent the full context of a block of work. The analyst then passes this data to a developer agent to write code or solve the ticket. Once the work is done, a QA agent calls `update_task` to change the status to complete. If the task is rejected, the crew can update the description with feedback and reopen it.

Setup guide

Set up ClickUp 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 ClickUp tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You can pass the Vinkius MCP Server URL directly inside the `mcps` array parameter when defining your CrewAI Agent. The framework handles the connection and tool mapping automatically.

Yes, the hosted MCP Server handles concurrent requests from different agents in your crew. Vinkius manages the connection pooling so your agents don't block each other.

You can use the `MCPServerHTTP` class from `crewai.mcp` along with a `tool_filter` to restrict access. This lets you prevent a writer agent from calling `delete_task`, for example.

No, because Vinkius hosts the MCP Server in the cloud, you will connect using the SSE or Streamable HTTP transport options provided by the platform.

Yes, your ClickUp tasks, lists, and workspace credentials are encrypted in transit. Vinkius executes the MCP Server in a zero-trust, ephemeral sandbox that never writes your data to persistent storage.

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