How to Use the ClickUp MCP in OpenAI Agents SDK

Q: What's the best way to list all my ClickUp tasks with the OpenAI Agents SDK?

Use the listtasks tool. It supports pagination, so your agent can process thousands of tasks without overwhelming the API. Your agent's code can loop through the pages to get a complete picture.

Build production-ready OpenAI Agents that manage your entire ClickUp workspace, from tasks to lists, with built-in safety guardrails.

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Connect ClickUp MCP to OpenAI Agents SDK

Create your Vinkius account to connect ClickUp to OpenAI Agents SDK 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 OpenAI Agents SDK

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Navigate Your ClickUp Hierarchy

This MCP Server gives your agent tools to map out your entire ClickUp structure. It can start with `list_workspaces`, then discover `list_spaces`, `list_folders`, and finally `list_lists`. This gives the agent full context of where tasks live before it tries to do anything. Because you're using the OpenAI Agents SDK, you get full tracing on these operations. You can review the agent's exact path through your workspace, which is critical for debugging why it chose one list over another in a production system.

Full Task Control with the OpenAI Agents SDK

Give your agent direct control over individual tasks. It can use `create_task` to add new items to a list, `update_task` to change a status or description, and `get_task_details` to check on progress. Your agent can manage the full lifecycle of a work item. The real power comes from the SDK's guardrails. You can configure your agent to require human confirmation before it runs a tool like `delete_task`. That prevents accidental deletions and adds a layer of safety you absolutely need for a deployed product.

Find and Act on Specific Tasks

Your agent doesn't have to work blind. It can use `list_tasks` to scan everything in a list, and the tool's built-in pagination handles projects with hundreds or thousands of tasks. This lets it find relevant work before deciding what to do next. Combine this with `get_task_details` to build smarter workflows. For instance, an agent can find all tasks with "urgent" in the name, get their details to confirm their status, and then update them to "in progress". The SDK handles the logic for chaining these tool calls together.

Setup guide

Set up ClickUp MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all ClickUp tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives ClickUp tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ClickUp tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="ClickUp Agent",
            instructions="You have access to ClickUp tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about ClickUp MCP in OpenAI Agents SDK

It connects through this Vinkius MCP Server. You just give the SDK a single URL and token from Vinkius. We handle all the ClickUp API authentication and tool setup for you.

Yes. The OpenAI Agents SDK has built-in guardrails. You can configure it to require human approval before executing destructive actions like the `delete_task` tool.

Use the `list_tasks` tool. It supports pagination, so your agent can process thousands of tasks without overwhelming the API. Your agent's code can loop through the pages to get a complete picture.

This MCP Server saves you from writing and maintaining boilerplate API code. You get a pre-built, tested set of tools that your agent discovers and uses immediately, so you can focus on the agent's actual logic.

Your ClickUp task names, descriptions, and statuses pass through our ephemeral V8 Isolate sandbox. We don't log or store your content. The data is only in memory for the duration of the API call.

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