AI Fitness coaching
trainedby.ai provides 6 tools that can be used to interact with its services.
get_onboardingGet all profile-building questions ordered by importance. Returns questions sorted by weight, where higher weights indicate questions with fewer relevant notes in the timeline. This identifies areas needing more coverage. Always pre-fills answers from timeline data when available, but ask user to verify.
get_timelineRetrieve a timeline of AI-generated summaries for goals, notes, and health data. For period granularities (day, week, month, year), retrieves looking back from today. For item granularity, retrieves individual summaries for a specific date. Each summary includes source_count: the number of individual items (activities, goals, notes, etc.) that were aggregated into that summary. Never returns future periods.
granularitystringTime granularity - 'item', 'day', 'week', 'month', or 'year'
datestringDate in YYYY-MM-DD format (required when granularity is 'item')
nullrange_sizeintegerNumber of periods to retrieve (required for day/week/month/year, max: 7 days, 5 weeks, 12 months, 10 years)
nullsave_noteSave a new note. Notes can be goals, workout feedback, reflections, or general observations. These notes are used to build your profile and provide personalized coaching.
contentstringThe note text content
note_typestringType of note (goal, workout_feedback, reflection, general)
datestringOptional date associated with the note in ISO format (YYYY-MM-DD or ISO 8601 timestamp). Defaults to current time if not provided.
nullsearch_timelineSearch timeline summaries by semantic similarity using vector embeddings. Searches across all summaries (health metrics and notes) at the specified granularity level. Returns results ordered by relevance (similarity score).
querystringText to search for across timeline summaries
granularitystringGranularity level to search in ('item', 'day', 'week', 'month', or 'all')
alllimitintegerMaximum number of results to return (default: 20, max: 100)
20share_user_feedbackShare feedback about this MCP with the developer. Use this to report bugs, request features, ask questions, or share what's working well. Your feedback directly helps improve the product.
feedbackstringThe feedback to share
categorystringThe category of feedback (e.g., bug, feature, question, other)
othercontextstringAdditional context about where or how the issue occurred
nullurgencystringThe urgency of the feedback (e.g., low, medium, high)
lowwhoamiVerify user authentication and check data access permissions.
Returns: user email, profile ID, and whether the user has access to their data.