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taazkareem

ClickUp MCP Server

MCP Server

Integrate ClickUp with AI agents seamlessly

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Updated Jul 15, 2025

About

A Model Context Protocol server that lets AI applications read, create, and update ClickUp tasks, spaces, lists, and folders via a standardized API. It supports optional document handling and tool filtering for fine‑grained control.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

ClickUp MCP Server in Action

The Taazkareem ClickUp MCP Server bridges the gap between AI assistants and the ClickUp project‑management ecosystem. By exposing ClickUp resources through the Model Context Protocol, it lets AI agents read, create, and manipulate tasks, spaces, lists, and folders without writing custom API wrappers. This solves the common pain point of integrating third‑party task management into conversational AI workflows, enabling developers to build smarter assistants that can schedule work, track progress, and provide real‑time status updates directly from ClickUp.

At its core, the server offers a rich set of resource‑management capabilities: any task can be listed, inspected for details such as status, assignees, and history, or moved between lists. Workspace organization is fully supported—spaces, folders, and lists can be created, updated, or deleted, with flexible identification by ID or name. Bulk task creation and duplication further accelerate productivity, allowing an AI assistant to onboard multiple items in a single call. The server also exposes the entire workspace hierarchy, including available statuses and task relationships, giving AI models a comprehensive view of project structure.

AI‑centric features elevate the server beyond a simple API proxy. Tasks can be generated, summarized, or prioritized using built‑in AI tools, enabling assistants to draft task descriptions from natural language prompts, recommend next actions based on priority and due dates, or surface relevant information to users. Smart name resolution lets agents reference lists and folders by human‑readable names, with case‑insensitive matching and global search across all spaces—this removes the need to remember obscure IDs.

Typical use cases span from automated sprint planning, where an AI agent pulls backlog items and creates sprint tasks, to real‑time status dashboards that pull task hierarchies and present them in conversational form. Developers can embed the server into existing MCP‑compatible platforms like Cursor AI Composer, adding it as a new toolset that seamlessly integrates with their workflow orchestration. The server’s secure API key handling ensures credentials remain hidden from the AI model, maintaining compliance and privacy.

What sets this MCP server apart is its holistic approach: it not only exposes ClickUp’s REST endpoints but also augments them with AI‑driven utilities, smart name resolution, and bulk operations—all wrapped in a protocol that is instantly consumable by any MCP‑enabled assistant. This combination delivers a powerful, developer‑friendly bridge that turns ClickUp into an intelligent, conversational workspace.