KanBo Roadmap & Emerging Modules

KanBo MCP (Model Context Protocol)

The intelligence layer — connecting AI agents with live organizational context.

The KanBo MCP is the foundation for KanBo’s next generation of intelligent features.
It acts as a bridge between KanBo’s data model and external AI models, enabling safe, contextual automation without compromising data sovereignty.

Core Vision

• Contextual Awareness – Provide AI agents with structured KanBo data (Spaces, Cards, Users, Dependencies) under full governance.
• Action Hooks – AI can propose or execute predefined KanBo actions (e.g., create card, update status, comment).
• Explainability – Every AI action is traceable and auditable in KanBo’s activity stream.
• Security by Design – MCP never exposes raw data; it operates within policy-controlled API boundaries.
• Extensibility – Future integrations with enterprise AI frameworks (Microsoft Copilot Studio, Azure OpenAI Service, on-prem LLMs).

Example Scenarios

• AI Agent monitors “At Risk” cards and suggests mitigation actions.
• Generate automated project status summaries using real KanBo data.
• Recommend workload redistribution when resource conflicts arise.
• Translate strategic goals into actionable card structures across Spaces.

Business Impact

• Turn data into proactive guidance.
• Enable decision-support and predictive awareness.
• Reduce noise by highlighting what truly matters.
• Maintain complete governance — AI operates inside your tenant.

Current Status

Under development and internal pilot.
First release will include:

Support for self-hosted LLMs within the organization’s infrastructure.

Secure agent integration API (MCP v1).

AI-generated insights for cards, workloads, and dependencies.