How to Use the ClickUp MCP in AutoGen

Q: How do I load ClickUp tools into my AutoGen agents?

Install the autogen-extmcp extension. Use mcpservertools with a StreamableHttpServerParams pointing to Vinkius. The adapter handles the schema conversion automatically.

Q: Can multiple AutoGen agents share the same ClickUp connection?

Yes. You pass the generated tool list to any AssistantAgent constructor in your group chat. The framework handles routing the specific tool calls from different agents through the same connection.

Let multiple AutoGen agents debate project priorities. They read ClickUp tasks, argue over timelines, and update boards based on consensus.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ClickUp MCP to AutoGen

Create your Vinkius account to connect ClickUp to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup ClickUp with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-Agent ClickUp MCP Server

One agent acts as a product manager while another plays lead engineer. The PM agent calls `list_list_tasks` to review the sprint backlog. It proposes a schedule based on the raw ticket data. The engineering agent pushes back. It runs `get_task_details` to read the technical constraints and custom fields on specific items. They debate the workload until both agree on a realistic timeline.

Autonomous Project Management

Finding the right place to log work requires context. Your routing agent navigates the hierarchy by executing `list_clickup_workspaces`, then `list_workspace_spaces`. It maps out the exact folder structure before making any decisions. Task creation happens only after verification. Once the agents agree on the correct destination using `list_space_lists`, a designated writer agent triggers `create_new_task`. The MCP Server translates the command and logs the agreed-upon requirements automatically.

Secure Identity Handling

Knowing who made a change prevents confusion. The MCP Server uses `get_my_clickup_profile` to verify the authenticated user context before writing to the board. This ensures all automated updates carry the correct attribution. Folder management stays organized. Agents poll `list_space_folders` to check if a dedicated epic folder already exists. If the structure is missing, they notify a human supervisor rather than creating duplicate directories.

Setup guide

Set up ClickUp MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes ClickUp tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="ClickUp_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent ClickUp data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="ClickUp_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent ClickUp data")
    print(result.messages[-1].content)

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect ClickUp now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ClickUp MCP in AutoGen

Install the `autogen-ext[mcp]` extension. Use `mcp_server_tools` with a `StreamableHttpServerParams` pointing to Vinkius. The adapter handles the schema conversion automatically.

Yes. You pass the generated tool list to any `AssistantAgent` constructor in your group chat. The framework handles routing the specific tool calls from different agents through the same connection.

It reads the raw JSON perfectly. Because the tools return structured data for spaces, folders, and lists, the agents parse those relationships during their conversation.

A reviewer agent catches the mistake. Configure a validation step where a second agent checks the proposed list ID before authorizing the creation tool.

The MCP Server routes your traffic through an ephemeral, zero-trust environment. As soon as the agents finish pulling task details, the sandbox shuts down. No lingering connections or stored payload logs remain on our infrastructure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript