MCP Kanban Memory
@eyalzh
关于 MCP Kanban Memory
MCP server providing kanban-based task management memory for complex multi-session workflows with AI agents
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"kanban-mcp": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-v",
"/path/to/db:/mcp",
"mcp/mcp-kanban"
]
}
}
}工具
7Create a new kanban board to plan and keep track of your tasks.
Add a new task to the landing column (to-do) of a kanban board.
Move a task from one column to another, respecting WIP limits.
Delete a task.
Get the full info of a kanban board, including columns and tasks.
Get the full info of a task, including its content.
List all kanban boards in the database.
概览
What is MCP Kanban Memory?
MCP Kanban Memory provides kanban-based task management state for AI-driven development. It structures an AI agent’s work by documenting and saving tasks in a kanban board, both during planning and execution sessions. It is similar to other task management MCP tools but adds column capacity limits, an embedded SQLite database, a web UI for observation, and predefined prompts.
How to use MCP Kanban Memory?
Clone the repository and run npm ci and npm run build for the shared/db and mcp-server directories. Add the server to your MCP client (e.g., Claude Desktop) using the provided JSON configuration, setting the MCP_KANBAN_DB_FOLDER_PATH environment variable to a writable folder. Use the predefined MCP prompts (create-kanban-based-project or make-progress-on-a-project) or ask the AI directly to create a board, add tasks, move them, and resume work later. A Docker installation option is also available.
Key features of MCP Kanban Memory
- Column capacity / work-in-progress limits
- Embedded SQLite database for persistence
- Web UI to observe and modify tasks
- Predefined prompts for starting and resuming workflows
Use cases of MCP Kanban Memory
- AI-driven development planning: create a board, divide a project into tasks, and track completion.
- Resuming a paused session: find
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