Kanzo
Syncs the kanban board through a private git repository (e.g., one created on GitHub) so the same board is shared across multiple machines, committing the board and pulling/pushing it between them. Also used for release signing/attestation of the installer.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Kanzo is a kanban board in your browser and an MCP server in one 4.5 MB program, so you and your coding agents work on the same tasks: on one computer, or on one board shared by all of them. No account, no server, no setup: run kanzo and it works.
You never edit a file. Everything is done in one of three places:
the board, in your browser, for you;
MCP, for your agents: they take tasks, move cards and comment;
the
kanzocommand, for the terminal and scripts.
Install
Just ask your agent: "install Kanzo from github.com/emanuele-em/kanzo."
curl -LsSf https://github.com/emanuele-em/kanzo/releases/latest/download/kanzo-installer.sh | shFor macOS and Linux, including every Raspberry Pi. On Windows, in PowerShell:
powershell -ExecutionPolicy Bypass -c "irm https://github.com/emanuele-em/kanzo/releases/latest/download/kanzo-installer.ps1 | iex"Or download the Windows zip from the latest release and put kanzo.exe in a folder named bin on your PATH, like %USERPROFILE%\.cargo\bin: the board updates itself only there.
Every release is signed by GitHub: check a download with gh attestation verify <file> --repo emanuele-em/kanzo. Or with Cargo:
cargo install kanzoRelated MCP server: KittyClaw
Start
Just ask your agent: "start Kanzo and keep it running at login."
kanzoThe board opens at http://localhost:4242. That's all the setup there is: the first run creates ~/kanzo, and the whole board lives in it.
n adds a task, / or ⌘K searches every project, f filters the board and ↵ keeps the filter, Tab moves to the description, ⌘↵ saves and closes, Esc cancels. Mark a task Human and agents leave it to you; the person icon shows only those. Paste or drop an image into a task or a comment to attach it. When a new version is out, the sidebar offers it: one click installs it.
Connect your agents
Just ask your agent: "add Kanzo as your MCP server," then restart it.
claude mcp add kanzo --scope user -- kanzo mcp # Claude Code
codex mcp add kanzo -- kanzo mcp # CodexOther MCP clients: run kanzo mcp (apps like Raycast need the full path, from which kanzo), or use the running board at http://localhost:4242/mcp.
Then ask: "take the next task from kanzo and do it." The agent moves the card to doing and comments as it works. It finds the right project from the git remote of the repo it works in; link more repos to a project from its ⋯ menu.
Park ideas in a backlog
Turn on Backlog in Settings for a column agents leave alone, until you move its tasks to todo.
Use it on several computers
Two ways, neither with any setup: share one board live, or sync it between machines.
Share it live
Just ask your agent: "share my Kanzo board" on one computer, and "join the Kanzo board at 192.168.1.20" on the others.
Several computers, one board, at the same time: everyone sees the same tasks, and every agent works on them.
On the computer with the board, click the share icon next to New task and turn on Share this board. Copy an address it shows.
On each other computer, click the share icon, paste the address and click Join.
Nothing restarts and nothing needs configuring. Their board shows the shared one, and their agents use it through the same kanzo mcp, still finding the project from the repo they work in. Turn sharing off, or click Leave, at any time.
From a terminal, or for an agent, it's kanzo share on and kanzo join <address>, then kanzo share off and kanzo leave.
The same two commands work wherever the board lives; only the address changes:
Your computer shares its board. Others join it from theirs, on the same network.
flowchart LR
B["💻 Laptop B<br><code>kanzo#nbsp;join#nbsp;192.168.1.20</code>"] -- home network --> A["💻 Laptop A<br><i>192.168.1.20</i><br><code>kanzo#nbsp;share#nbsp;on</code>"]A Raspberry Pi keeps the board. Every computer joins it, and none has to stay on.
flowchart LR
A["💻 Laptop A<br><code>kanzo#nbsp;join#nbsp;192.168.1.50</code>"] -- home network --> pi["🍓 Raspberry Pi<br><i>192.168.1.50</i><br><code>kanzo#nbsp;share#nbsp;on</code>"]
B["💻 Laptop B<br><code>kanzo#nbsp;join#nbsp;192.168.1.50</code>"] -- home network --> piThe Raspberry Pi is somewhere else, over the internet. Put a VPN on the Pi and on each computer, like Tailscale, NetBird or WireGuard: kanzo share on then shows the Pi's VPN address too.
flowchart LR
A["💻 Laptop A<br><code>kanzo#nbsp;join#nbsp;100.101.32.7</code>"] -- VPN --> net(("🌐 Internet"))
B["💻 Laptop B<br><code>kanzo#nbsp;join#nbsp;100.101.32.7</code>"] -- VPN --> net
net -- VPN --> pi["🍓 Raspberry Pi<br><i>100.101.32.7</i><br><code>kanzo#nbsp;share#nbsp;on</code>"]On a Pi, kanzo service install keeps the board running after a restart. There are no logins: share only on a network you trust.
Sync it between machines
Just ask your agent: "sync my Kanzo board," or the first time, "set up Kanzo sync with github.com/you/kanzo-data."
To carry the board between machines you use one at a time, a private git repo you own keeps it in step.
Create an empty private repo on GitHub, or anywhere git can push.
Click Settings at the bottom of the sidebar, choose Sync and paste its URL. Kanzo makes
~/kanzoa git repo and pushes the board.On each other machine, do the same with the same URL: Kanzo offers to use the board that's already there.
From then on, choose Sync, or run kanzo sync, when you switch machines. It commits the board and pulls or pushes it, and it's safe while the board and your agents are running. If both machines changed the board, Kanzo asks which one to keep. To move to another repo, change it in Settings, under Sync.
Commands
Command | Does |
| Starts the board at http://localhost:4242 and opens it; |
| Keeps the board running and starts it at login; |
| The MCP server for agents: they start it, not you |
| Shares the board with the other computers on your network; |
| Uses the board another computer shares, from this one's board and agents; |
| Commits the board and pulls or pushes it; |
| Prints the board as Markdown; |
| Installs the latest release and restarts the board's service; the board offers new versions too |
| Creates the data folder; the first run does this too |
| Prints the version |
Every command takes --home <dir> to use another data folder.
Settings
Just ask your agent: "run Kanzo on port 4300."
Everything lives in ~/kanzo: the board in kanzo.db, settings in config.toml. You never need to open either; use another folder with --home or KANZO_HOME.
port = 4242
listen = "127.0.0.1" # sharing opens the board to your network; "0.0.0.0" keeps it open
mcp_http = true # MCP at /mcpSmall and fast
Program | 4.5 MB, SQLite included |
Memory | 4.5 MB idle, 8 MB with 3,000 tasks |
Start | 2 ms |
Board of 3,000 tasks | 17 ms to load in the browser |
Agents' tool list | about 900 tokens, once per session |
Agents' replies | 10 to 60 tokens of plain text |
Measured on an Apple M4.
License
AGPL-3.0: use it, change it and share it; if you offer a changed version over a network, share its source too. To help, see CONTRIBUTING.
mcp-name: io.github.emanuele-em/kanzo
This server cannot be deployed
Maintenance
Related MCP Connectors
Kanban board for AI coding agents: they claim cards, report progress, ask you when blocked, ship.
Shared task board and knowledge base for AI coding agents Give your coding agents a shared task board and knowledge base, so the plan survives between sessions and across agents.
Kanban boards your AI agent can use: add, complete, move and recall tasks with your team.
A kanban board your AI reads and updates as it works, and you watch in your browser.
Related MCP Servers
- AlicenseBqualityCmaintenanceEnables AI agents and humans to collaboratively plan and manage tasks with a shared kanban and dependency graph, all stored locally.317 npm82MIT
- AlicenseNot gradedqualityAmaintenanceSelf-hosted kanban board that dispatches AI agent fleets against tickets. The embedded Streamable HTTP /mcp endpoint exposes 7 tools to list projects, read boards and tickets, and create, move and comment tickets from any MCP client.29AGPL 3.0
- AlicenseNot gradedqualityBmaintenanceEnables coding agents to read and write a local kanban board, adding and editing cards, moving them between columns, managing projects, and writing update entries so their work is visible in real time.3 npm1MIT
- AlicenseNot gradedqualityBmaintenanceLocal kanban board & harness for coding agents over MCP: agents claim and move tasks, read and write notes, and build Auto-code workflows, within per-folder permissions and an audit log.4 npm1Apache 2.0