KnBn FAQs

Question 1

How do AI assistants interact with KnBn?

Accepted Answer

AI assistants use KnBn via standardized MCP Tools for interactive operations (e.g., creating tasks, moving columns) and MCP Resources for read-only access to structured board data.

Question 2

Is KnBn a standalone application?

Accepted Answer

KnBn functions as an MCP server, integrating with MCP-compatible AI clients like Claude Desktop. It is built on the KnBn CLI tool, which handles the underlying kanban board operations.

Question 3

What is the Model Context Protocol (MCP)?

Accepted Answer

MCP is a protocol that allows AI models and agents to programmatically interact with external tools and data, providing structured access to functionalities and resources like those offered by KnBn.

Question 4

What types of kanban operations can KnBn automate?

Accepted Answer

KnBn allows AI assistants to perform comprehensive board management, full CRUD operations on tasks (including batch updates), manage columns and labels with color support, and organize sprints efficiently.

Question 5

What is KnBn?

Accepted Answer

KnBn is an MCP (Model Context Protocol) server that enables AI assistants to programmatically manage kanban boards, tasks, and project workflows through a standardized API.

KnBn

Key Features

Use Cases

KnBn

Key Features

Use Cases