ClickUp

Provides a comprehensive MCP server to read, create, update, and organize ClickUp tasks, spaces, and subtasks via AI assistants.
  • python

2

GitHub Stars

python

Language

5 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs
{
  "mcpServers": {
    "imjoshnewton-clickup-mcp-server": {
      "command": "uvx",
      "args": [
        "clickup-mcp-server",
        "--api-key",
        "YOUR_API_KEY"
      ],
      "env": {
        "CLICKUP_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

You can use the ClickUp MCP Server to let AI systems read, create, and manage your ClickUp workspace. This server exposes a rich set of tools for manipulating tasks, lists, spaces, folders, and more, with friendly API responses and robust error handling to support automation and AI-assisted workflows.

How to use

You interact with the server through an MCP client or integration that speaks the Model Context Protocol. Start by running the server locally or in a container, then configure your MCP client to connect via one of the supported runtime methods. You can choose a local stdio-based runtime (executing the server directly in your environment) or a containerized/remote approach. Once the server is running, you can ask your AI assistant to perform tasks like creating tasks, updating statuses, organizing spaces, and adding comments or attachments to ClickUp items.

Practical usage patterns you can perform with Claude or another MCP client include: creating tasks in a specific list, updating task details, moving tasks between lists, organizing spaces and folders, and querying custom fields. You can also automate subtasks, add comments and attachments, and run bulk operations across multiple tasks. Use the hierarchical workspace navigation tools to reach the exact space, folder, or list you want to work with, and then apply the desired operations.

How to install

Prerequisites you need before installing: Python 3.10 or higher and a ClickUp API key. You will use the API key to authorize the MCP server with ClickUp.

# Install the MCP server via pip
pip install clickup-mcp-server

# Run the server with your ClickUp API key
python -m clickup_mcp_server --api-key YOUR_API_KEY

Configuration and usage notes

You can provide your ClickUp API key in command-line arguments or via an environment variable. The recommended approach is to pass the API key as a command-line flag or to set CLICKUP_API_KEY in your environment.

{
  "mcpServers": {
    "clickup": {
      "command": "uvx",
      "args": ["clickup-mcp-server", "--api-key", "YOUR_API_KEY"]
    }
  }
}

Security and keys

Keep your ClickUp API key secret. Do not expose it in public scripts or shared configurations. Use environment variables or secure vaults to manage credentials where possible.

Available tools

get_workspaces

Retrieves all workspaces or teams with their IDs and names.

navigate_workspace

Traverses the workspace hierarchy using a path notation such as team_id/space_name/folder_name/list_name and returns details of the target entity along with its full path.

get_spaces

Lists all spaces within a specified workspace by ID.

create_space

Creates a new space within a specified workspace and returns details of the created space.

get_space_hierarchy

Fetches the full hierarchy of a space, including folders and lists.

get_folders

Gets all folders inside a space by space ID.

create_folder

Creates a new folder inside a space and returns the created folder details.

update_folder

Updates the name of a folder and returns the updated folder details.

delete_folder

Deletes a folder and returns a deletion confirmation.

get_lists

Retrieves all lists or boards in a space.

create_list

Creates a new list or board in a space or folder and returns its details.

organize_lists

Organizes lists by their location, either in a space or inside a folder.

get_tasks

Fetches all tasks within a list or board and returns task details.

get_tasks_by_status

Filters tasks by a given status within a list or board.

create_task

Creates a new task in a list or board and returns the created task details.

get_task

Retrieves complete details for a specific task.

update_task

Updates properties of a task and returns the updated task details.

update_task_status

Updates the status of a task and returns the updated task details.

assign_task

Assigns users to a task and returns a confirmation of assignment.

get_task_subtasks

Gets subtasks for a given parent task.

delete_task

Deletes a task and returns a confirmation of deletion.

move_task

Moves a task to a different list or board and returns the updated task.

duplicate_task

Duplicates a task, optionally to another list or board, and returns the duplicated task.

create_subtask

Creates a subtask under a parent task and returns its details.

add_comment

Adds a markdown-enabled comment to a task and returns the added comment details.

add_attachment

Attaches a URL-based attachment to a task and returns the attachment details.

bulk_update_tasks

Updates multiple tasks in one operation and returns a bulk update confirmation.

bulk_delete_tasks

Deletes multiple tasks in one operation and returns a bulk deletion confirmation.

get_custom_fields

Retrieves all custom fields for a list or board.

set_custom_field_value

Sets a custom field value for a task by field ID and returns a confirmation.

set_custom_field_value_by_name

Sets a custom field value by field name within a list and returns a confirmation.

remove_custom_field_value

Removes a custom field value from a task and returns a confirmation.

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