io.github.kagan-sh/kagan

kagan

AI-powered Kanban TUI for autonomous development workflows with agent orchestration

102 GitHub PyPI

No known CVEs

No license

Actively maintained

Last commit 2d ago

Works with most clients

Transport: sse, http

0 tools

Grade F

Edit this pageView history

AI / ML Productivity

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopsse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-kagan-sh-kagan": {
      "args": [
        "kagan"
      ],
      "command": "uvx"
    }
  }
}

Are you the author?

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Read me

What io.github.kagan-sh/kagan does

A terminal Kanban board that runs AI coding agents on your code. Create tasks, run agents autonomously or in pair mode. 14 agents supported.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'kagan' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

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Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

58/100across 5 weighted dimensions

How we score →

0255075100

−42

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked kagan against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.kagan-sh/kagan safe to use?: io.github.kagan-sh/kagan has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.kagan-sh/kagan?: io.github.kagan-sh/kagan supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.kagan-sh/kagan?: io.github.kagan-sh/kagan is compatible with claude-desktop, cursor, claude-code. It uses sse and http transport.
Is io.github.kagan-sh/kagan actively maintained?: io.github.kagan-sh/kagan is actively maintained — last commit was 2 days ago. It has 102 GitHub stars.

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

What you get

Kanban board (BACKLOG → IN_PROGRESS → REVIEW → DONE) enforced by a state machine

Each task runs in its own git worktree — your working copy stays untouched

Managed runs (background agent) or interactive attach (you + agent in tmux/editor)

REVIEW stage requires explicit human approval before merge; no path around it

MCP server so Claude Code, Codex, or any MCP-capable client can drive the board

kagan doctor preflight checks all required tools before first run

Tested agents: Claude Code · Codex · Gemini CLI · 11 more — see docs/backends.

Full docs: **[docs.

Frequently Asked Questions

Is io.github.kagan-sh/kagan safe to use?

io.github.kagan-sh/kagan has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.kagan-sh/kagan?

io.github.kagan-sh/kagan supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with io.github.kagan-sh/kagan?

io.github.kagan-sh/kagan is compatible with claude-desktop, cursor, claude-code. It uses sse and http transport.

Is io.github.kagan-sh/kagan actively maintained?

io.github.kagan-sh/kagan is actively maintained — last commit was 2 days ago. It has 102 GitHub stars.

Docs · Quickstart · The review gate · MCP Setup · CLI Reference · Contributing

Kagan is a Kanban TUI for AI coding agents with a structural human review gate. No agent-authored task reaches your main branch without an explicit approval — the state machine enforces it.

The agent runs in an isolated git worktree. When it finishes, the task card moves to REVIEW. You read the diff, check the acceptance criteria, and press approve. Then merge fires. That transition — REVIEW to DONE — cannot be automated away. It is not a setting.

Install

uv tool install kagan     # or: uvx kagan

Mac / Linux (no uv)

curl -fsSL https://uvget.me/install.sh | bash -s -- kagan

Windows (PowerShell)

iwr -useb uvget.me/install.ps1 -OutFile install.ps1; .\install.ps1 kagan

What you get

Kanban board (BACKLOG → IN_PROGRESS → REVIEW → DONE) enforced by a state machine
Each task runs in its own git worktree — your working copy stays untouched
Managed runs (background agent) or interactive attach (you + agent in tmux/editor)
REVIEW stage requires explicit human approval before merge; no path around it
MCP server so Claude Code, Codex, or any MCP-capable client can drive the board
kagan doctor preflight checks all required tools before first run

Tested agents: Claude Code · Codex · Gemini CLI · 11 more — see docs/backends.

Full docs: **[docs.

... View full README on GitHub