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Setup

AI & MCP Overview

Dragon Planner integrates with AI assistants like Claude through the Model Context Protocol (MCP). This allows your AI to read, create, and manage your w...

Dragon Planner integrates with AI assistants like Claude through the Model Context Protocol (MCP). This allows your AI to read, create, and manage your work directly — no copy-pasting between tools.

What Is MCP?

MCP is a standard protocol that lets AI assistants connect to external tools and data. When you connect Claude (or another MCP-compatible assistant) to Dragon Planner, the AI can work with your projects just like a team member would.

What Can AI Do?

With the MCP integration, your AI assistant can:

CapabilityExamples
💳 Manage work itemsCreate stories, update statuses, assign to sprints, mark items complete
📁 Navigate projectsList workspaces, switch between projects, browse backlogs
📊 Get insightsView dashboards, get sprint summaries, find recommended next work
🔍 SearchFind work items and projects across your organization
💬 CollaborateAdd comments, assign team members, log time
📎 Attach filesUpload screenshots, documents, and other files to work items
🏃 Sprint planningView sprints, assign items to sprints, check sprint progress
🔗 Jira exportGenerate Jira-compatible payloads and track synced issue keys

Getting Connected

Your AI assistant connects to Dragon Planner's MCP server at mcp.dragonplanner.com. The connection uses the same authentication as your web account — the AI sees exactly what you have permission to see.

Builder Seats Required

MCP access requires a Builder seat. Team members with Collaborator seats (web-only) cannot use AI integrations. Check your seat type on the Team page.

Learn More

See the related help articles for details on specific capabilities:

  • Setting context (choosing your workspace and project)
  • Managing work items through AI
  • Sprint and planning tools
  • Jira integration
  • File attachments via AI

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