🔄 Kanban MCP

What is MCP Kanban? 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 management system. How to use MCP Kanban? To use MCP Kanban, set up a Planka Kanban board and the MCP Kanban server. Clone the repository, configure environment variables, build the server, and start the Planka containers. Access the Planka board at the specified URL and create a project to begin. Key features of MCP Kanban? Access Kanban data including projects, boards, lists, and tasks. Manage workflow by moving cards between lists. Track tasks by creating, updating, and completing tasks within cards. Communicate progress through comments and labels. Support task-oriented development using Kanban methodology. Use cases of MCP Kanban? Enabling LLMs to manage software development tasks effectively. Facilitating collaboration between human developers and AI assistants. Streamlining task management and progress tracking in software projects. FAQ from MCP Kanban? Can MCP Kanban work with any Kanban board? No, it is specifically designed to work with Planka. Is MCP Kanban free to use? Yes, it is open-source and available on GitHub. What are the prerequisites for using MCP Kanban? You need Docker, Git, Node.js, and npm installed on your system.

As an MCP (Model Context Protocol) server, 🔄 Kanban MCP enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use MCP Kanban, set up a Planka Kanban board and the MCP Kanban server. Clone the repository, configure environment variables, build the server, and start the Planka containers. Access the Planka board at the specified URL and create a project to begin. Key features of MCP Kanban? Access Kanban data including projects, boards, lists, and tasks. Manage workflow by moving cards between lists. Track tasks by creating, updating, and completing tasks within cards. Communicate progress through comments and labels. Support task-oriented development using Kanban methodology. Use cases of MCP Kanban? Enabling LLMs to manage software development tasks effectively. Facilitating collaboration between human developers and AI assistants. Streamlining task management and progress tracking in software projects. FAQ from MCP Kanban? Can MCP Kanban work with any Kanban board? No, it is specifically designed to work with Planka. Is MCP Kanban free to use? Yes, it is open-source and available on GitHub. What are the prerequisites for using MCP Kanban? You need Docker, Git, Node.js, and npm installed on your system.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.