dizlexic

dizlexic / moo-tasks

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A simple multiuser multiboard task MCP server managed via kanban board interface.

mootasks.dev agentic-ai agentic-workflow agents mcp-server
14
1
100% credibility
Found Apr 28, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Vue
AI Summary

Moo Tasks is a collaborative kanban board where humans manage tasks visually and AI agents handle them programmatically through a built-in connection system.

How It Works

1
👀 Discover Moo Tasks

You find this fun task board app that lets people and AI helpers work together on projects.

2
📝 Sign up easily

Create a free account with your email and a password, then log in to your personal dashboard.

3
📋 Create your project board

Make a new board for your project, give it a name and description, and you're ready to add tasks.

4
➕ Add and organize tasks

Drag colorful task cards into columns like To Do, In Progress, or Done to plan your work.

5
🤖 Invite your AI helper

Share a special link with your AI assistant so it can see tasks, pick them up, and update progress automatically.

6
✨ Watch teamwork in action

Your AI grabs tasks, moves them along, adds notes, and you review everything in real time.

✅ Projects complete effortlessly

Tasks flow smoothly from start to finish, with humans and AI collaborating perfectly.

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AI-Generated Review

What is moo-tasks?

Moo Tasks is a Vue-based kanban board app with a built-in MCP server for multiuser, multiboard task management. Humans drag tasks across Backlog, To Do, In Progress, Review, and Done columns via a clean web interface, while AI agents connect per-board MCP endpoints to list, accept, update, and comment on tasks programmatically. It solves the disconnect between human oversight and AI automation in dev workflows, with real-time polling keeping everyone synced.

Why is it gaining traction?

Per-board MCP scoping ensures agents stay focused without cross-contamination, plus features like correction tasks (linked fixes from Review/Done), import/export JSON, and configurable agent instructions stand out. The drag-and-drop UI toggles to list view, supports comments and deep-linking, and deploys easily via Docker or DigitalOcean—think simple GitHub workflow example meets kanban for AI-driven projects. Low stars (14) but polished docs and client configs for Claude, Cursor, VS Code hook early adopters.

Who should use this?

Solo devs or small teams pairing with AI agents (Claude Code, Cursor) for repo task queues, especially those tired of manual Jira/Trello updates. Perfect for students building simple GitHub projects or portfolios needing a managed board interface; owners handle invites, members collaborate on multiboard setups.

Verdict

Grab it for AI task experiments—Docker up in minutes, MIT license, solid README like a simple GitHub repo template. 1.0% credibility score reflects early maturity (few stars, no tests shown), so prod teams wait for more traction; great starter for simple multiuser server needs though.

(198 words)

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