Overview

PLANKA is a cloud‑ready, kanban‑style project management platform that turns the classic board experience into an AI‑friendly data source. By exposing its task, board, and user information through a Model Context Protocol (MCP) server, developers can let AI assistants like Claude reason about project status, generate progress reports, or even propose task re‑prioritization without leaving the conversational flow. The server bridges the gap between a rich web interface and programmatic access, enabling AI‑driven automation across continuous delivery pipelines, agile ceremonies, or remote collaboration.

The core value of PLANKA lies in its ability to translate visual workflow states into structured data that AI agents can consume. Each board is represented as a collection of columns and cards, where cards carry metadata such as assignee, due date, priority, and comments. The MCP server surfaces these entities through typed resources (e.g., , ) and tools that perform CRUD operations. An AI assistant can ask, “Show me all high‑priority tasks in the In Progress column,” and receive a precise, up‑to‑date list without manual filtering. This eliminates repetitive copy‑and‑paste and empowers developers to embed real‑time project intelligence into chatbots, voice assistants, or automated monitoring dashboards.

Key capabilities of the PLANKA MCP server include:

• Real‑time board querying – Fetch boards, columns, and cards with optional filtering by status, assignee, or tags.
• State manipulation tools – Move cards between columns, update properties, and add comments directly from the AI interface.
• Trello import/export – Seamlessly migrate tasks between PLANKA and Trello, allowing teams to keep a single source of truth while leveraging AI insights.
• Docker‑ready deployment – Run the server in a container for quick integration into CI/CD pipelines or cloud functions.
• Rich metadata support – Expose custom fields, due dates, and user annotations so AI can reason about deadlines and workload balance.

In practice, PLANKA’s MCP integration shines in scenarios such as sprint planning bots that automatically suggest optimal task ordering, automated status dashboards that surface overdue work during stand‑ups, or compliance tools that audit board configurations against organizational policies. By exposing a clean, typed API over the familiar kanban UI, developers can embed project context into AI workflows without reinventing their existing tooling stack. The result is a more productive, data‑driven approach to project management that scales with the complexity of modern software teams.