Manage Kanban AI board projects, tasks, and comments from AI tools.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Kanban AI" MCP server from askskill: Run: claude mcp add --transport http 'io-github-orholam-kanban-ai' 'https://kanbanai.dev/api/mcp'
Connect to the Kanban AI board, list all tasks in the "Q2 Product Launch" project, update any completed tasks still marked in progress to "Done," and then summarize the changes.
A list of tasks, the tasks that were updated, and a summary of final statuses.
Find tasks related to "design review" in the Kanban AI board and add a comment to each one reminding the owner to submit the latest progress by Friday.
A list of tasks that received comments and a summary of the comment content.
Create a project called "Customer Research" in Kanban AI and add these tasks: prepare interview script, contact participants, and summarize findings.
The creation result for the new project and its tasks.
Product managers or team members can manage projects and tasks in Kanban AI boards directly from MCP-enabled AI tools, reducing manual context switching.
Teams can use AI to add comments or follow-up notes to tasks in bulk, helping keep progress and collaboration updates aligned.
Developers can integrate this remote MCP tool into AI workflows to update projects, tasks, and comments within the same flow.
It is a remote MCP tool that lets AI tools access Kanban AI boards and manage projects, tasks, and comments.
Based on the description, it can manage projects, tasks, and comments in Kanban AI boards. For more detailed operation scope, see the source repository.
The available information only states that it is a remote MCP tool and does not provide installation steps, key requirements, or runtime details; see the source repository for specifics.
Manage Planka kanban boards via MCP to create, update, and organize tasks.
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Connect AI assistants to Kanboard for project and task management.
Manage a personal Kanban board, notes, and code clips using natural language.
Manage Kanban boards, comments, and digests for humans and AI agents.
Manage Kaiten cards, comments, checklists, and time tracking using natural language.