This MCP server implementation, developed for managing AI session handoffs and next steps, provides a TypeScript-based interface leveraging the Model Context Protocol SDK. It offers tools for coordinating AI workflows across multiple sessions or models. The implementation focuses on maintaining context and continuity between AI interactions, enabling seamless handoffs and structured progression of tasks. It's particularly useful for complex, multi-stage AI processes that require coordination between different models or handling extended user interactions over time. The server allows for efficient management of AI conversation flows, task delegation, and context preservation without requiring deep knowledge of underlying AI model architectures.
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Highlight AIList available templates for next steps, working sessions, and handoffs.
Create a new project for tracking AI session handoffs.
Delete a project and all its data.
Create a new next step in a project.
Start working on a next step.
Complete a working session with handoff details.
Get open next steps ordered by priority.
Get complete history of a next step including session and handoff.