Install
$ agentstack add mcp-eyalzh-kanban-mcp ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
MCP Kanban Task Management
An MCP tool set providing kanban-based task management state for AI-driven development. This is similar to other task management MCP tools, with the additional structure, rules and visibility of a kanban-based task management system.
The main idea is to direct the AI agent to document and save its work as tasks in a kanban board, both in the planning session and in execution sessions.
Highlights
- Column capacity / work-in-progress limits
- Embedded DB (SQLite)
- Web UI for observing the progress of the workflow, and for modifying tasks manually
- Predefined prompts for starting and resuming a workflow
Usage
Use the MCP prompts to start a project or to make progress on a project. Alternatively, ask the LLM assistant to record its plan by creating a kanban board. To make progress in a follow-up session, ask the assistant to locate a specific kanban board and resume work on it.
Installation
Clone this repo, then run:
npm ci --prefix shared/db
npm ci --prefix mcp-server
npm run build --prefix shared/db
npm run build --prefix mcp-server
Then add the MCP server configuration to the MCP client (e.g. Claude Desktop):
"mcpServers": {
"kanban-mcp": {
"command": "node",
"args": [
"/path/to/repo/mcp-server/dist/server.js"
],
"env": {
"MCP_KANBAN_DB_FOLDER_PATH": "/path/to/db"
}
}
}
Replace /path/to/repo with the location of the cloned repo.
Replace /path/to/db with a folder that will contain the DB files. This can be any folder with read/write access. It will be created if it doesn't exist.
Installation with Docker
Build the Docker image:
docker build -t mcp/mcp-kanban .
Then add the MCP server configuration to the MCP client (e.g. Claude Desktop):
"mcpServers": {
"kanban-mcp": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-v",
"/path/to/db:/mcp",
"mcp/mcp-kanban"
]
}
}
Replace /path/to/db with a folder that will contain the DB files. This can be any folder with read/write access. It will be created if it doesn't exist.
Using the web UI
Build the web-ui and web-server:
npm ci --prefix shared/db
npm run build --prefix shared/db
npm ci --prefix web-ui
npm ci --prefix web-server
npm run build --prefix web-ui
npm run build --prefix web-server
Run the web-server:
MCP_KANBAN_DB_FOLDER_PATH=/path/to/db npm run start --prefix web-server
Open the browser at http://localhost:8221
API
Tools
- create-kanban-board
- Create a new kanban board to plan and keep track of your tasks.
- Input:
name(string): The name of the boardprojectGoal(string): The goal of the project.
- add-task-to-board
- Add a new task to the landing column (to-do) of a kanban board.
- Input:
boardId(string): The ID of the board to add the task totitle(string): The title of the taskcontent(string): The content of the task in markdown format
- move-task
- Move a task from one column to another, respecting WIP limits.
- Input:
taskId(string): The ID of the task to movetargetColumnId(string): The ID of the column to move the task toreason(string, optional): The reason for moving the task
- delete-task
- Delete a task.
- Input:
taskId(string): The ID of the task to delete
- get-board-info
- Get the full info of a kanban board, including columns and tasks.
- Input:
boardId(string): The ID of the board to get info for- Return detailed information about the board, including columns and tasks.
- get-task-info
- Get the full info of a task, including its content.
- Input:
taskId(string): The ID of the task to get info for- Return detailed information about the task, including its content.
- list-boards
- List all kanban boards in the database.
- Input: None
- Return a list of all boards in the database with their names, creation times, and goals.
Prompts
- create-kanban-based-project
- Create a kanban board for a project, ask questions to divide the project into tasks, and add them to the board.
- Input:
description(string): The description of the project
- make-progress-on-a-project
- Make progress on an existing project by locating its kanban board, selecting the next task, and working on it.
- Input:
description(string): The description of the project
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: eyalzh
- Source: eyalzh/kanban-mcp
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.