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Kanban MCP Server

@bradrisse

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

bradrisse

关于 Kanban MCP Server

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 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": {
      "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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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