multidimensionalcats

multidimensionalcats / kanban-mcp

Public

MCP server for project management with kanban boards, semantic search, and web UI

17
2
100% credibility
Found Mar 06, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A web-based kanban board with persistent storage for tracking issues, features, todos, and progress, designed for use by both humans and AI coding assistants.

How It Works

1
🔍 Discover the task tracker

You hear about a simple board to organize todos, issues, and progress for projects, especially with AI helpers.

2
📥 Run the setup helper

Copy and run one easy command that installs everything and prepares your personal board.

3
✨ Board springs to life

In moments, your secure storage is ready, and you have a web page showing your empty but organized workspace.

4
🌐 Open your board

Visit the web address in your browser to see columns for backlog, in progress, done, and more.

5
🤖 Link your AI assistant

Add a short note to your AI tool's settings so it can see and update your tasks automatically.

6
📝 Start adding tasks

Create todos, link files, set priorities, and watch your AI helper use the board during work sessions.

🎉 Projects stay on track

Your work across folders is organized, AI remembers what's active, and you see timelines of progress effortlessly.

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Star Growth

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AI-Generated Review

What is kanban-mcp?

This Python MCP server turns your projects into a persistent kanban board, tracking issues, features, todos, epics, and diary entries in MySQL or MariaDB. AI agents like Copilot in VSCode or Claude access 40+ tools via Model Context Protocol for CRUD, status workflows, relationships, semantic search, and git timelines, while humans get a drag-and-drop web UI at localhost:5000 and CLI commands like `kanban-cli summary`. It solves scattered task tracking by unifying human and AI workflows across repos.

Why is it gaining traction?

Session hooks auto-inject active items into AI chats and prompt progress logs at session end, making agents use the board without prompting. Standouts include optional semantic search via local embeddings, epic progress bars, file linking, and Docker quickstarts—no complex setup for github kanban mcp server users. At 17 stars, it's niche but hooks mcp github copilot vscode devs tired of manual context switching.

Who should use this?

AI-heavy solo devs or small teams using Claude Code, VSCode Copilot, or Gemini CLI for multi-repo management. Ideal for those juggling github issues via mcp github project manager, needing kanban mcp server ai integration without Jira overhead—think indie hackers automating todos with mcp server docker examples.

Verdict

Grab it if you're deep in MCP tools; install scripts and docs make it dead simple despite 1.0% credibility and low stars signaling early alpha. Test with `curl install.sh | bash` on a side project—solid for agent-driven workflows, but watch for stability as adoption grows.

(198 words)

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