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  1. Home
  2. 🤖 Coding Agents
  3. Kagan
Kagan logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 8:47:22 PM

Kagan

User RatingsBe the first to rate and review this MCP server!
View Repository10 GitHub StarsTotal stargazers on GitHub for the source repository (10 stars).Visit Website
opencodecoding-agentskanbangit-worktreescode-review

Supervises OpenCode coding tasks through a gated kanban workflow with isolated worktrees, review, and controlled merging.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for kagan-sh/kagan, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🤖 More in Coding Agents

Overview

The kagan-sh/kagan MCP server coordinates OpenCode coding work through a supervised kanban board. Each task runs in a separate git worktree and advances through Backlog, In Progress, Review, and Done with approval gates. Reviewer agents report ranked findings, and changes are merged only after findings are triaged and a merge destination is chosen. Reach for it when you want structured oversight of autonomous coding tasks rather than agents modifying the main checkout directly.

Use cases

•Create supervised coding tasks from an OpenCode project
•Isolate concurrent agent changes in separate git worktrees
•Review agent output before merging it
•Track development work through gated kanban stages

Key features

•Supervised kanban task workflow
•Isolated git worktrees and branches
•Reviewer-agent findings with ranking
•Manual triage and merge gates
•OpenCode task and settings commands

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Kagan.

Extracted Tool Capabilities
Supervised kanban task workflow
Isolated git worktrees and branches
Reviewer-agent findings with ranking
Manual triage and merge gates
OpenCode task and settings commands

How Kagan works

What kagan-sh/kagan MCP server does

The kagan-sh/kagan MCP server organizes AI coding work as supervised tasks inside OpenCode. It presents work on a kanban board with four stages: Backlog, In Progress, Review, and Done. Each transition has a gate, so a task is not treated as complete merely because an agent has produced code.

The workflow is designed for projects where multiple coding tasks need tracking, isolation, review, and an explicit merge decision. Kagan keeps agent changes out of the primary checkout while the work is in progress, then requires review and triage before the task can reach Done.

How it works

Every task becomes an OpenCode session associated with an isolated git worktree. The agent works on a kagan/<slug> branch rather than directly in the main checkout. This gives each task its own working area and branch while preserving the repository’s regular checkout for other work.

The process begins with intake before the coding agent runs. After implementation, a reviewer agent evaluates the result against the original task and records ranked findings. Before completion, the user must review those findings, decide how to handle each one, and choose whether and where the changes should be merged. Kagan therefore supports an approval-oriented workflow rather than unattended promotion from implementation to completion.

Setup and configuration

Kagan runs as an OpenCode plugin and requires OpenCode 1.17.13 or newer. The documented global installation command is:

bash
opencode plugin -g @kagan-sh/kagan

A local clone can instead be added to both OpenCode configuration files through the plugin array. Once installed, open the board with /kagan, the kagan command-palette entry, or the <leader>k shortcut. The default leader key is ctrl+x.

Tasks can also be created conversationally from a regular OpenCode session with /kagan-task. Project settings are available through /kagan-settings, and the README directs users to the configuration reference for option syntax.

For global npm installations, Kagan checks npm for newer stable releases and displays available updates in the board footer. Updates can be reviewed with u, /kagan-update, or the command palette. Local, file, and development installations are not updated automatically.

Tools and capabilities

The kagan-sh/kagan MCP server supports these documented workflow capabilities:

  • Create and manage supervised coding tasks on a kanban board.
  • Run each task in an isolated git worktree and kagan/<slug> branch.
  • Start tasks only after intake review.
  • Submit completed work to a reviewer agent.
  • Record ranked review findings against the original task.
  • Require finding triage and an explicit merge decision before Done.

The supplied material does not enumerate individual MCP tool names or describe external service integrations. Its documented integration point is OpenCode.

Limitations and notes

Kagan is tied to OpenCode and requires version 1.17.13 or newer. The README describes it as an OpenCode plugin as well as an MCP server, so it should be evaluated primarily for OpenCode-based development workflows. Agents do not work directly in the main checkout; task changes are made in isolated worktrees and branches instead.

Review completion is intentionally not automatic. A reviewer can file findings, but the user must triage every finding and decide whether or where to merge. The material does not specify support for other coding environments, hosted deployment, authentication settings, or named MCP clients.

The project is released under the MIT license.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
10
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Kagan

Install it globally as an OpenCode plugin with `opencode plugin -g @kagan-sh/kagan`, or add a local clone to both OpenCode configuration files.

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Technical Specs & Signals

Category🤖Coding Agents
PricingFree
More technical detailsExpand â–¾
AuthNo auth required
LicenseMIT
ClientsWindsurf
Last updatedSep 7, 2026
11/11 checks healthy over the last 33d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars10
GitHub Star CountTotal stargazers on GitHub representing community popularity (10 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 28, 2026
44Quality signal: Fair · 44/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools19/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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