MCP Kanban Memory
About
Manage complex AI agent workflows with a Kanban-based task management system.
Details
- Author
- eyalzh
- Categories
- Productivity, Project Management, Automation
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Setup
Install MCP Kanban Memory in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/eyalzh/kanban-mcp
Follow the installation instructions in the repository README, then restart your MCP client.
Manage complex AI agent workflows with a Kanban-based task management system.
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.
- 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
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.
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/repowith the location of the cloned repo.
Replace/path/to/dbwith 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.
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/dbwith 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.
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
MCP_KANBAN_DB_FOLDER_PATH=/path/to/db npm run start --prefix web-server
Open the browser athttp://localhost:8221
- Create a new kanban board to plan and keep track of your tasks.
- Input:
- name(string): The name of the board
- projectGoal(string): The goal of the project.
- 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 to
- title(string): The title of the task
- content(string): The content of the task in markdown format
- Move a task from one column to another, respecting WIP limits.
- Input:
- taskId(string): The ID of the task to move
- targetColumnId(string): The ID of the column to move the task to
- reason(string, optional): The reason for moving the task
- Delete a task.
- Input:
- taskId(string): The ID of the task to delete
- Get the full info of a kanban board, including columns and tasks.
- Input:
- boardId(string): The ID of the board to get info for
- Get the full info of a task, including its content.
- Input:
- taskId(string): The ID of the task to get info for
- 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.
- 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 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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