How to Use the ClickUp MCP in OpenAI Agents SDK

Q: How do I set up the ClickUp MCP Server with OpenAI Agents SDK?

Install openai-agents via pip and configure the streamable HTTP server using the Vinkius URL. Pass the server instance directly to your OpenAI Agents SDK constructor to enable automatic ClickUp tool discovery.

Run safe, production-grade ClickUp operations directly inside your OpenAI Agents SDK pipeline.

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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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Safe Task Creation in OpenAI Agents SDK

This integration relies on `create_new_task` to generate ClickUp tickets inside your OpenAI Agents SDK pipeline. The SDK intercepts this call, applying custom guardrails to verify that ClickUp task names and list IDs match your corporate policies before execution.

Multi-Agent Workspace Discovery

Specialized agents running on the OpenAI Agents SDK use `list_clickup_workspaces` and `list_workspace_spaces` to map out your team's structural layout. The OpenAI Agents SDK allows a routing agent to discover these ClickUp spaces first, then hand off the context to an execution agent. During this handoff, the SDK maintains full tracing of every ClickUp MCP Server request. Your routed OpenAI agents inspect folders using `list_space_folders` without losing state or duplicating API calls across your ClickUp workspace.

Automated Project Auditing

To extract current ClickUp task states directly into your OpenAI Agents SDK runtime, the setup uses `list_list_tasks` via our secure MCP connection. Your OpenAI Agents SDK system runs these checks on a loop, parsing ClickUp task details to find overdue assignments. When the agent calls `get_task_details`, the SDK's built-in validation ensures that the returned ClickUp payload matches your expected schema. Audited project data arrives cleanly without worrying about empty ClickUp fields breaking your production OpenAI pipeline.

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

Install `openai-agents` via pip and configure the streamable HTTP server using the Vinkius URL. Pass the server instance directly to your OpenAI Agents SDK constructor to enable automatic ClickUp tool discovery.

Yes, you can filter the exposed tool list during initialization to prevent the OpenAI Agents SDK from running write operations. This keeps destructive ClickUp tools like `create_new_task` locked down while leaving read tools open.

The OpenAI Agents SDK relies on the underlying HTTP transport to handle backoff, while you monitor ClickUp performance on the OpenAI tracing dashboard. If rate limits occur during a `list_list_tasks` call, the system logs the event clearly.

No, the server operates on a request-response model where your agent calls tools like `get_task_details` on demand. It does not push live ClickUp webhooks directly to your python code.

Your ClickUp workspace structures and profile details pass through an ephemeral V8 sandbox that retains no data. The connection uses direct token authentication to query the ClickUp API securely without exposing raw credentials to the OpenAI Agents SDK.

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