trainedby.ai MCPv1.0.1

A user wants to track daily workouts, set fitness goals, and receive AI-generated feedback on progress. The assistant uses get_timeline to review recent activity, save_note to log goals or reflections, and search_timeline to analyze trends like sleep or nutrition.

A user asks about their health metrics over time, such as 'how has my sleep been?' The assistant calls search_timeline with a query like 'sleep' to retrieve relevant summaries, then provides insights based on timeline data to encourage better habits.

A user wants to set new fitness goals or review existing ones. The assistant uses get_timeline with granularity='week' to summarize progress, then saves a note with note_type='goal' after confirming with the user, ensuring goals are tracked over time.

A new user signs up and needs to build their coaching profile. The assistant calls get_onboarding to retrieve profile questions, walks through them one by one conversationally, and verifies suggested answers before saving notes to populate the timeline.

After a workout, a user wants to log feedback or reflect on performance. The assistant uses save_note with note_type='workout_feedback' or 'reflection' to capture details, then references past data via get_timeline to provide motivational insights.

Offer tiered monthly subscriptions for personalized AI coaching, with features like advanced timeline analytics, priority support, and custom goal tracking. Revenue is generated from recurring user fees, targeting fitness enthusiasts and professionals.

Partner with corporations to integrate the MCP server into employee wellness initiatives, providing health tracking and goal management tools. Revenue comes from licensing fees per employee or enterprise contracts, focusing on improving workplace productivity.

Provide basic coaching tools for free, such as timeline viewing and note-saving, while charging for advanced features like detailed trend analysis, AI-generated workout plans, and integration with third-party health apps. Revenue is driven by upgrades and in-app purchases.