MCP Analytics And Reports

Your AI assistant just got a lot smarter about your projects. We've added 11 new MCP tools for analytics, reporting, and bulk operations - bringing the total to 32 tools.

#What's New

Analytics Tools:

• get-my-tasks - Your tasks sorted by priority and due date
• list-overdue-tasks - Tasks past their due date with days overdue
• get-user-workload - Task distribution across team members
• get-blocked-tasks - Tasks waiting on dependencies
• get-activity-log - Recent changes across your board

Report Tools:

• summarize-board - Board overview with stats by status, user, and blockers
• summarize-project - Same metrics scoped to a single project
• standup-report - Yesterday's completions, today's work, and blockers
• health-check - Project health score with recommendations
• suggest-next-action - AI-recommended next task based on priority and deadlines

Bulk Operations:

• bulk-create-tasks - Create up to 50 tasks in a single atomic operation

#Example Prompts

Try these with your AI assistant:

• "Generate my standup report for the Marketing board"
• "What's the health score of the Backend project?"
• "Show me workload distribution across the team"
• "What should I work on next?"
• "Bulk create these tasks: API design, database schema, unit tests, documentation"

#Why This Matters

These tools turn your AI assistant into a project management co-pilot. Instead of clicking through dashboards, ask natural language questions about overdue work, team capacity, or project health. The standup report alone saves the daily ritual of manually gathering what you did yesterday and what's blocking you today.

For teams using AI-powered development tools like Cursor, Claude Code, or VS Code with Copilot, this means project context is always one question away. Your AI can now recommend what to work on next based on priorities, deadlines, and what's actually unblocked.

Learn more in the MCP Server documentation.