ClickUp MCP Integration
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Integrations
Enables interaction with ClickUp workspaces, providing tools for creating new tasks with various properties (descriptions, priority levels, due dates, tags), retrieving detailed task information by task ID, and looking up tasks using custom IDs.
ClickUp MCP Integration
A Model Context Protocol server that provides seamless integration with ClickUp, allowing Large Language Models to interact with your ClickUp workspace tasks and data.
Available Tools
This MCP server provides the following tools for interacting with ClickUp:
clickup_create_task
Creates a new task in your ClickUp workspace.
- Required inputs:
name
(string): Task namelist_id
(string): ClickUp list ID where the task will be created
- Optional inputs:
markdown_description
(string): Task description in markdown formatpriority
(number): Task priority (1=Urgent, 2=High, 3=Normal, 4=Low)due_date
(number): Due date as Unix timestamp in millisecondstags
(array of strings): Tag names to add to the tasktime_estimate
(number): Time estimate in milliseconds
- Returns: Details of the newly created task
clickup_get_task
Retrieves detailed information about a specific task using its ID.
- Required inputs:
task_id
(string): The ClickUp task ID
- Returns: Complete task details including description, status, assignees, and metadata
clickup_get_task_by_custom_id
Retrieves task information using a custom ID.
- Required inputs:
custom_id
(string): The custom ID of the task
- Returns: Complete task details including description, status, assignees, and metadata
Build
Run:
Docker build:
Setup
1. Obtaining your ClickUp API Token:
- Log in to your ClickUp account at app.clickup.com
- Navigate to your user settings by clicking your profile picture in the bottom-left corner
- Select "Settings"
- Click on "Apps" in the left sidebar
- Under "API Token", click "Generate" if you don't already have a token
- Copy the generated API token for use in the MCP server configuration
2. Finding your Workspace ID:
- Open ClickUp in your web browser
- Look at the URL when you're in your workspace
- The Workspace ID is the numeric value in the URL:
https://app.clickup.com/{workspace_id}/home
- Copy this number for use in the MCP server configuration
3. Install Docker: https://docs.docker.com/engine/install/
4a. Setup Cline MCP Server:
- Open VSCode or Jetbrains IDEs and go to Cline.
- Go to MCP Servers → Installed → Configure MCP Servers.
- Add the following to your
cline_mcp_settings.json
inside themcpServers
key:
4b. Setup Claude Desktop MCP Server:
- Use any editor to open the configuration file of Claude Desktop.
- Windows:
C:\Users\YourUsername\AppData\Roaming\Claude\claude_desktop_config.json
- Mac:
~/Library/Application\ Support/Claude/claude_desktop_config.json
- Windows:
- Add the following to your
claude_desktop_config.json
inside themcpServers
key:
- Save the configuration file
- Restart Claude Desktop to apply the changes
Troubleshooting
If you encounter issues with the MCP server:
- Authentication Errors:
- Verify your API token is correct
- Ensure the API token has the necessary permissions for the operations you're attempting
- Check that your workspace ID is correct
- Task Access Issues:
- Confirm you have access to the tasks you're trying to retrieve
- Verify the task IDs are correct and exist in your workspace
- Check if the tasks might be in an archived state
- Connection Problems:
- Ensure your Docker service is running properly
- Check your network connection
- Verify the environment variables are correctly set in your MCP configuration
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License.
This server cannot be installed
A Model Context Protocol server that enables Large Language Models to interact with ClickUp workspace tasks and data, allowing creation and retrieval of tasks through natural language.