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πŸ”„ Kanban MCP

@bradrisse

Repository

About πŸ”„ Kanban MCP

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

Basic information

Category

Other

Runtime

node

Transports

stdio

Publisher

bradrisse

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

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Overview

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, [email protected], 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

Comments

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