How to Use the ClickUp MCP in CrewAI

Run autonomous agent squads that organize ClickUp workspaces and manage tasks using CrewAI.

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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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Coordinate workspace audits with CrewAI

The `list_workspace_spaces` tool provides your CrewAI manager agent with a map of your entire project environment. The manager agent then delegates specific spaces to worker agents for detailed analysis. Using `list_space_folders` allows the crew to drill down into client-specific directories. They can verify if project structures match your company templates without human supervisors guiding them.

Automate task dispatch via MCP Server

The `create_new_task` tool serves as the primary action step for your execution agents. After a research agent compiles a report, the dispatch agent writes the task directly to the team's active sprint list. By calling `list_space_lists`, the crew finds the correct sprint board dynamically. This prevents agents from cluttering random lists with raw engineering tickets.

Multi-agent task triage and analysis

The `get_task_details` tool feeds raw ticket data to your analyst agent. The analyst reviews the description, while a separate QA agent checks the status to determine if the work meets definition of done. Running `list_list_tasks` gives the entire crew a bird's-eye view of team workload. They can re-prioritize tickets and update descriptions based on collective team progress.

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)

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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="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

Pass your Vinkius server URL directly into the server configuration list when defining your CrewAI agent. The agent instantly gains access to all eight productivity tools, including task writing.

Yes, CrewAI agents share access to the configured tools. One agent can read task lists using list tools while another updates details, coordinating their actions through shared memory.

Use the HTTP server configuration with a tool filter in your CrewAI setup. This lets you expose only read-only tools to research agents while keeping write tools restricted.

The server supports stdio, Server-Sent Events, and HTTP transports. You can choose the one that fits your deployment environment, whether running locally or in a cloud container.

Your user profile details retrieved via the profile tool are never saved or cached. Vinkius routes all requests through our secure MCP Server architecture, executing within ephemeral containers that self-destruct after use.

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