How to Use the ClickUp MCP in Pydantic AI

Q: How do I initialize the ClickUp MCP Server in Pydantic AI?

Import MCPToolset from the Pydantic AI library and point it to your Vinkius HTTP endpoint. Pass this toolset to your agent instance to register all eight ClickUp tools automatically.

Q: Can I use Pydantic AI to validate ClickUp task creation inputs?

Yes, when the agent calls createnewtask, Pydantic AI checks the arguments against the ClickUp tool's schema before sending the request. This ensures all required fields are present and correctly formatted.

Q: How does Pydantic AI handle the privacy of my ClickUp profiles and lists?

The getmyclickupprofile and listspacelists tools query your profile details and list structures over a secure HTTPS connection. The Vinkius MCP sandbox processes this data ephemerally, ensuring your user credentials and ClickUp attributes are never cached or logged by Pydantic AI.

Run type-safe ClickUp operations with strict Pydantic AI validation rules.

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Setup ClickUp with Pydantic AI

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Type-Safe Task Creation in Pydantic AI

Enforcing type constraints during creation, the system runs `create_new_task` to generate ClickUp tickets under strict Pydantic AI rules. Pydantic AI validates the inputs at runtime, ensuring your agent never sends missing list IDs or malformed task names to the ClickUp API. If the model attempts to pass an invalid parameter, the Pydantic AI framework raises an error before hitting ClickUp. This loud failure prevents corrupt data from polluting your ClickUp workspaces during Pydantic AI runs.

Strict Structure Validation

The framework executes `list_space_lists` and `list_space_folders` to discover your ClickUp project structures with Pydantic AI validation. Pydantic AI parses the raw ClickUp JSON responses into typed Python models, guaranteeing that every folder and list object matches your codebase schemas. When navigating complex ClickUp hierarchies, this MCP Server ensures your Pydantic AI agent never runs into unexpected null values. Your agent navigates ClickUp spaces using `list_workspace_spaces` with complete Pydantic AI type safety.

Verified Task Extraction

To verify runtime payloads, the system triggers `get_task_details` to fetch specific ClickUp ticket data inside Pydantic AI. The framework checks the fields, verifying that ClickUp assignees, statuses, and custom fields match your exact Pydantic AI data models. You can also list multiple items using `list_list_tasks` without worrying about ClickUp API schema drift breaking your Pydantic AI models. The Pydantic AI framework validates the entire ClickUp list collection, giving you clean data for downstream processing via MCP.

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-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)

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Common questions about ClickUp MCP in Pydantic AI

Import `MCPToolset` from the Pydantic AI library and point it to your Vinkius HTTP endpoint. Pass this toolset to your agent instance to register all eight ClickUp tools automatically.

The Pydantic AI framework will raise a validation error immediately, halting execution. This prevents your agent from processing corrupt ClickUp task payloads or hallucinating missing fields.

Yes, when the agent calls `create_new_task`, Pydantic AI checks the arguments against the ClickUp tool's schema before sending the request. This ensures all required fields are present and correctly formatted.

No, this server runs on Vinkius infrastructure. You connect to it using the Streamable HTTP transport, meaning your Pydantic AI application does not need to manage local background processes.

The `get_my_clickup_profile` and `list_space_lists` tools query your profile details and list structures over a secure HTTPS connection. The Vinkius MCP sandbox processes this data ephemerally, ensuring your user credentials and ClickUp attributes are never cached or logged by Pydantic AI.

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