Getting Started
Create your first workspace, project, and work items in Dragon Planner.
Welcome to Dragon Planner
Dragon Planner is an AI-native project management platform built around the Model Context Protocol (MCP). It lets you manage work items, sprints, and projects through both a web interface and AI assistants like Claude.
This guide walks you through the basics — from signing up to creating your first work items.
Sign Up
Head to app.dragonplanner.com and create your account. You can sign up with email or Google.
Create a Workspace
After signing in, you'll be prompted to create your first workspace. A workspace is the top-level container for everything — projects, team members, and billing all live at the workspace level.
Give it a name that represents your team or organization.
Create a Project
Inside your workspace, create a project. Projects are where your actual work lives — work items, sprints, and dashboards are all scoped to a project.
Each project gets its own:
- Work item backlog
- Sprint boards
- Program Increments
- Dashboards and reporting
Create Your First Work Items
Dragon Planner uses a 7-level work item hierarchy:
| Level | Type | Description |
|---|---|---|
| 1 | Initiative | Large strategic goals |
| 2 | Epic | Major feature or capability |
| 3 | Story | User-facing requirement |
| 4 | Bug | Defect tracking |
| 5 | Task | Technical work |
| 6 | SubTask | Breakdown of a task |
| 7 | Spike | Research or exploration |
Start by creating a Story or Task — you can always restructure into a deeper hierarchy later. See the Work Item Hierarchy guide for details on parent-child rules and dependencies.
Invite Team Members
Navigate to your workspace settings to invite team members. Dragon Planner has two seat types:
- Builder — Full access including MCP connections
- Collaborator — Web-only access at a lower cost
Next Steps
- Work Item Hierarchy — Deep dive into item types, dependencies, and cascade behavior
- Sprint Planning — Set up Program Increments and sprints
- MCP Setup — Connect Claude or another AI assistant via MCP