How to Use the ClickUp MCP in Pydantic AI

Q: How do I connect Pydantic AI to my ClickUp workspace?

You use the MCPToolset class, passing it the URL for this Vinkius MCP server. Then you add that toolset to your Pydantic AI Agent. It's a single line to get all the ClickUp tools.

Build type-safe Python agents with Pydantic AI that manage ClickUp. Get validated data structures for every task, list, and space.

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 Pydantic AI

Create your Vinkius account to connect ClickUp to Pydantic AI 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 Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Get Type-Safe Views of Your Workspace

Your agent gets a predictable, Pydantic-validated model of your ClickUp structure. When you call `list_workspaces`, `list_spaces`, or `list_lists`, the response is guaranteed to match the expected schema. No more guessing what fields the API returned. If the ClickUp API ever returns something unexpected, your agent will raise a `ValidationError`. This fail-loudly approach stops your agent from working with bad data, which is critical for reliable automation.

Manage Tasks with Runtime Validation

This server provides tools like `create_task`, `update_task`, and `get_task_details`. With Pydantic AI, every single response from these tools is parsed into a Pydantic model before your agent can touch it. That means you'll never get a `KeyError` because a field was missing or misspelled. Your agent's code can confidently access `task.name` or `task.status` because the framework has already confirmed those fields exist and have the correct type.

A Reliable MCP Server for Pydantic AI

Your agent can safely modify your ClickUp projects. It can use `delete_task` to remove completed items or `update_task` to change a task's name. Every action is predictable. Because Pydantic AI is model-agnostic, you can use these validated tools with any LLM you prefer—OpenAI, Anthropic, or a local model. This MCP Server ensures the tool interactions are consistent and correct, no matter what brain is driving the agent.

Setup guide

Set up ClickUp MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "clickup-alternative-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to ClickUp tools.",
)

result = await agent.run("List recent ClickUp transactions")
print(result.output)

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 Pydantic AI

You use the `MCPToolset` class, passing it the URL for this Vinkius MCP server. Then you add that toolset to your Pydantic AI `Agent`. It's a single line to get all the ClickUp tools.

Yes, that's the whole point. Every response from tools like `get_task_details` is automatically parsed into a Pydantic model. If the data from ClickUp doesn't match the required structure, your code will raise an error immediately.

Absolutely. Pydantic AI is designed to be model-agnostic. This MCP Server provides the tools, and you can plug in whatever LLM you want to power the agent's reasoning.

This server saves you the work of mapping the entire API, handling auth, and keeping it all updated. It's a managed, pre-built solution that just works out of the box.

Your data, including task names and descriptions, is processed inside a secure V8 Isolate sandbox. Each request is isolated. We don't store or log your content; it's discarded the moment the API call is complete.

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