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Kanban MCP Server

@bradrisse

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基本情報

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その他

トランスポート

stdio

作者

bradrisse

Kanban MCP Server について

MCP Kanban is a specialized middleware designed to facilitate interaction between Large Language Models (LLMs) and Planka, a Kanban board application. It serves as an intermediary layer that provides LLMs with a simplified and enhanced API to interact with Planka's task managemen

#mcp#kanban#cursor#llm#mcp-server

Kanban MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "kanban": {
      "command": "node",
      "args": [
        "/path/to/kanban-mcp/dist/index.js"
      ],
      "env": {
        "PLANKA_BASE_URL": "http://localhost:3333",
        "PLANKA_AGENT_EMAIL": "demo@demo.demo",
        "PLANKA_AGENT_PASSWORD": "demo"
      }
    }
  }
}

Kanban MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Kanban MCP?

Kanban MCP is a bridge between Planka (an open-source kanban board) and Cursor’s Machine Control Protocol (MCP). It enables AI assistants like Claude to view, create, update, and manage projects, boards, lists, cards, comments, and time tracking on your kanban boards.

How to use Kanban MCP?

Clone the repository, install dependencies with npm install, build the TypeScript code with npm run build, and start the Planka containers with npm run up. Then configure Cursor to add a new MCP server pointing to dist/index.js and set the environment variables PLANKA_BASE_URL, PLANKA_AGENT_EMAIL, and PLANKA_AGENT_PASSWORD (default: http://localhost:3333, demo@demo.demo, demo).

Key features of Kanban MCP

  • Create and view projects and boards
  • Organize lists and reorder them
  • Create, update, delete, and move cards
  • Track time with start/stop/reset stopwatch
  • Manage tasks and mark complete/incomplete
  • Add comments and view comment history

Use cases of Kanban MCP

  • AI assistant manages kanban boards during development sprints
  • Track time spent on tasks automatically via AI conversation
  • Collaborate with AI to plan and groom the backlog
  • AI creates and updates cards based on human discussions
  • Move cards between lists as tasks progress

FAQ from Kanban MCP

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