ClickUp MCP Server
Integrates with ClickUp API to manage tasks, workspaces, spaces, folders, and lists, enabling AI assistants to perform discovery, read, and write operations across ClickUp hierarchy.
README
ClickUp MCP Server
A Model Context Protocol (MCP) server that integrates with the ClickUp API, enabling AI assistants to manage tasks across your entire ClickUp workspace hierarchy.
Features
Discovery Operations
- list_workspaces - List all workspaces/teams you have access to
- list_spaces - List all spaces in a workspace
- list_folders - List all folders in a space
- list_lists - List all lists in a space or folder
- search_tasks - Search tasks across a workspace with filters
Read Operations
- list_today_tasks - Retrieve all tasks due today (workspace-wide or list-specific)
- list_overdue_tasks - Retrieve all tasks past their due date
- list_no_due_date_tasks - Retrieve all tasks without a due date
Write Operations
- create_task - Create a new task with optional description, due date, priority, and assignee
- update_task - Update task status, due date, or priority
- add_comment - Add a comment to an existing task
Prerequisites
- Node.js v20 or higher
- A ClickUp account with API access
- A ClickUp API token
Installation
-
Clone this repository:
git clone <repository-url> cd clickup-mcp -
Install dependencies:
npm install -
Create a
.envfile from the example:cp .env.example .env -
Configure your environment variables in
.env:CLICKUP_API_TOKEN=your_api_token_here
Getting ClickUp Credentials
API Token
- Go to ClickUp Settings (click your avatar → Settings)
- Navigate to "Apps" in the sidebar
- Click "Generate" under "API Token"
- Copy the generated token
Usage
Development Mode
npm run dev
Production Build
npm run build
npm start
MCP Integration
Claude Desktop Configuration
Add this server to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"clickup": {
"command": "node",
"args": ["/path/to/clickup-mcp/dist/index.js"],
"env": {
"CLICKUP_API_TOKEN": "your_api_token_here"
}
}
}
}
Or for development:
{
"mcpServers": {
"clickup": {
"command": "npx",
"args": ["tsx", "/path/to/clickup-mcp/src/index.ts"],
"env": {
"CLICKUP_API_TOKEN": "your_api_token_here"
}
}
}
}
Typical Workflow
The server supports a hierarchical discovery flow:
Workspaces → Spaces → Folders → Lists → Tasks
Example Conversation
User: "What tasks do I have due today?"
AI:
-
First, let me discover your ClickUp structure...
→ list_workspaces Found: "Acme Corp" (workspace_id: "123") -
Searching for today's tasks across the workspace...
→ list_today_tasks({ workspace_id: "123" }) Found 5 tasks due today
User: "Create a new task in my Engineering sprint backlog"
AI:
-
Let me find that list...
→ list_spaces({ workspace_id: "123" }) Found: "Engineering" (space_id: "456") → list_lists({ space_id: "456" }) Found: "Sprint Backlog" (list_id: "789") -
Creating the task...
→ create_task({ list_id: "789", name: "New Task" }) Created successfully!
Tool Reference
Discovery Tools
list_workspaces
Lists all workspaces/teams you have access to.
Input: None
Output:
{
"count": 2,
"workspaces": [
{
"id": "123456",
"name": "My Workspace",
"color": "#7B68EE",
"members_count": 5
}
]
}
list_spaces
Lists all spaces in a workspace.
Input:
{
"workspace_id": "123456",
"include_archived": false
}
| Field | Type | Required | Description |
|---|---|---|---|
| workspace_id | string | Yes | Workspace ID |
| include_archived | boolean | No | Include archived spaces (default: false) |
list_folders
Lists all folders in a space.
Input:
{
"space_id": "789",
"include_archived": false
}
| Field | Type | Required | Description |
|---|---|---|---|
| space_id | string | Yes | Space ID |
| include_archived | boolean | No | Include archived folders (default: false) |
list_lists
Lists all lists in a space or folder.
Input:
{
"space_id": "789"
}
or
{
"folder_id": "456"
}
| Field | Type | Required | Description |
|---|---|---|---|
| space_id | string | One required | Space ID (gets all lists including folderless) |
| folder_id | string | One required | Folder ID (gets only lists in folder) |
| include_archived | boolean | No | Include archived lists (default: false) |
search_tasks
Search tasks across a workspace with optional filters.
Input:
{
"workspace_id": "123456",
"query": "bug fix",
"space_ids": ["789"],
"statuses": ["in progress"],
"include_closed": false
}
| Field | Type | Required | Description |
|---|---|---|---|
| workspace_id | string | Yes | Workspace ID |
| query | string | No | Search query |
| space_ids | string[] | No | Filter by spaces |
| folder_ids | string[] | No | Filter by folders |
| list_ids | string[] | No | Filter by lists |
| statuses | string[] | No | Filter by statuses |
| assignee_ids | number[] | No | Filter by assignees |
| include_closed | boolean | No | Include closed tasks |
Task Tools
list_today_tasks
Lists all tasks due today.
Input:
{
"workspace_id": "123456"
}
or
{
"list_id": "789"
}
| Field | Type | Required | Description |
|---|---|---|---|
| workspace_id | string | One required | Search across workspace |
| list_id | string | One required | Search specific list |
list_overdue_tasks
Lists all overdue tasks. Same input as list_today_tasks.
list_no_due_date_tasks
Lists all tasks without a due date in a specific list.
Input:
{
"list_id": "789"
}
| Field | Type | Required | Description |
|---|---|---|---|
| list_id | string | Yes | List ID |
create_task
Creates a new task in a specific list.
Input:
{
"list_id": "789",
"name": "Task Name",
"description": "Optional description",
"due_date": "2024-12-31T23:59:59Z",
"priority": "2",
"assignee": 12345678
}
| Field | Type | Required | Description |
|---|---|---|---|
| list_id | string | Yes | List ID to create task in |
| name | string | Yes | Task name |
| description | string | No | Task description |
| due_date | string | No | ISO 8601 date |
| priority | string | No | 1=Urgent, 2=High, 3=Normal, 4=Low |
| assignee | number | No | ClickUp user ID |
update_task
Updates an existing task.
Input:
{
"task_id": "abc123",
"status": "complete",
"due_date": "2024-12-31T23:59:59Z",
"priority": "1"
}
| Field | Type | Required | Description |
|---|---|---|---|
| task_id | string | Yes | Task ID to update |
| status | string | No | New status |
| due_date | string | No | New due date (ISO 8601) |
| priority | string | No | New priority |
add_comment
Adds a comment to a task.
Input:
{
"task_id": "abc123",
"comment": "This is a comment"
}
| Field | Type | Required | Description |
|---|---|---|---|
| task_id | string | Yes | Task ID |
| comment | string | Yes | Comment text |
Error Handling
The server provides detailed error responses:
{
"error": "ClickUp API error",
"status_code": 401,
"message": "ClickUp API error: 401 Unauthorized",
"details": { ... }
}
Common error scenarios:
- 401: Invalid API token
- 404: Task, list, folder, space, or workspace not found
- 400: Invalid request parameters
- Validation error: Invalid input format
Project Structure
clickup-mcp/
├─ src/
│ ├─ index.ts # MCP server entry point
│ ├─ clickup.ts # ClickUp API wrapper
│ ├─ tools.ts # MCP tool definitions
├─ dist/ # Compiled JavaScript (after build)
├─ package.json
├─ tsconfig.json
├─ .env.example
└─ README.md
Development
Type Checking
npx tsc --noEmit
Building
npm run build
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.