MCP Kanban Memory
Manage complex AI agent workflows with a Kanban-based task management system.
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
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