Can I see the subtasks for a specific task?

Yes! Use the `get_task_details` tool with the task ID. The agent will fetch the full task record, which includes all subtasks nested within it.

How do I find all the tasks in a specific list?

Use the `list_list_tasks` tool. Provide the list ID, and your agent will return all tasks in that list, including their current statuses and priorities.

Where do I find my ClickUp API Token?

Log in to ClickUp, go to your **Personal Settings**, select **Apps**, and generate a **Personal API Token** under the API section.

ClickUp MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: ClickUp
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ClickUp through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to ClickUp "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in ClickUp?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About ClickUp MCP Server

Connect your ClickUp account to any AI agent and take full control of your project management and productivity through natural conversation. Streamline how you manage tasks, subtasks, and complex workflows natively.

Pydantic AI validates every ClickUp tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Workspace Oversight — List and retrieve details for all workspaces (teams) you belong to natively
Hierarchy Intelligence — Access and monitor spaces, folders, and lists to understand project structures flawlessly
Task Management — List and retrieve detailed information for tasks, including statuses and priorities, securely
Workflow Logistics — Create new tasks and manage subtasks to keep your team organized flawlessly
Productivity Tracking — Access your own user profile and team member information securely
Integrated Visibility — Retrieve detailed task metadata including descriptions and due dates directly within your workspace

The ClickUp MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect ClickUp to Pydantic AI via MCP

Follow these steps to integrate the ClickUp MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from ClickUp with type-safe schemas

Why Use Pydantic AI with the ClickUp MCP Server

Pydantic AI provides unique advantages when paired with ClickUp through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ClickUp integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your ClickUp connection logic from agent behavior for testable, maintainable code

ClickUp + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the ClickUp MCP Server delivers measurable value.

Type-safe data pipelines: query ClickUp with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple ClickUp tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query ClickUp and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock ClickUp responses and write comprehensive agent tests

ClickUp MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect ClickUp to Pydantic AI via MCP:

create_new_task

Create a new task in a specific list

get_my_clickup_profile

Retrieve information about the authenticated user

get_task_details

Get detailed information for a specific task

list_clickup_workspaces

List all workspaces (teams) the user belongs to

list_list_tasks

List all tasks in a specific list

list_space_folders

List all folders within a space

list_space_lists

List all lists within a space

list_workspace_spaces

List all spaces within a workspace

Example Prompts for ClickUp in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with ClickUp immediately.

"List all my ClickUp workspaces."

"Show me the tasks in the 'Q2 Launch' list."

"Create a new task called 'Prepare presentation' in list 'wf_123'."

Troubleshooting ClickUp MCP Server with Pydantic AI

Common issues when connecting ClickUp to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ClickUp + Pydantic AI FAQ

Common questions about integrating ClickUp MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your ClickUp MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.