ClickUp MCP Server

Overview

The Mcp Clickup server bridges the gap between AI assistants and the ClickUp productivity platform by exposing a rich set of ClickUp APIs through the Model Context Protocol (MCP). It allows Claude and other MCP‑compatible assistants to query, create, update, and delete tasks, lists, spaces, and comments directly from the conversational interface. By turning ClickUp’s REST endpoints into MCP resources, developers can embed real‑time project management capabilities into chat workflows without writing custom integration code.

The server solves a common pain point for teams that rely on AI assistants to stay organized: the need for a seamless, authenticated connection to their task data. Rather than requiring users to copy‑paste API keys or build bespoke adapters, the MCP server handles OAuth authentication, token refresh, and request routing behind the scenes. This means that a developer can expose a single resource and let the assistant automatically retrieve task lists, add new tasks, or mark items as complete—all while respecting ClickUp’s rate limits and security model.

Key features of the MCP server include:

• Resource‑based access: Each ClickUp entity (space, list, task) is represented as an MCP resource with CRUD operations mapped to the underlying API.
• Tool integration: The server offers pre‑built tools for common actions such as , , and , allowing the assistant to invoke these with natural language prompts.
• Prompt customization: Developers can supply custom prompt templates that guide the assistant’s interactions, ensuring consistent formatting and error handling when communicating with ClickUp.
• Sampling control: The server supports configurable sampling settings to fine‑tune the assistant’s responses, useful for tailoring verbosity or formatting of task summaries.

Real‑world use cases span from daily stand‑ups where the assistant pulls the current sprint backlog, to automated status updates that mark tasks as complete when a milestone is reached. Project managers can ask the assistant to generate a burndown chart by querying task completion data, while developers can trigger CI/CD pipelines that automatically create ClickUp tasks when a pull request is merged. The MCP server’s tight integration with ClickUp’s webhooks further enables real‑time notifications: when a task is updated elsewhere, the assistant can immediately reflect that change in the conversation.

What sets Mcp Clickup apart is its declarative approach to resource exposure. Instead of writing ad‑hoc HTTP clients, developers define the structure once and let the MCP server handle authentication, pagination, and error translation. This not only speeds up development but also ensures that the assistant’s interactions remain consistent across different ClickUp workspaces. By unifying task management with AI conversational flows, the server empowers teams to maintain productivity without leaving their chat environment.