Wellness Retreat Schedule Generator

Wellness Retreat Schedule Generator MCP Connector for Claude

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Create structured, balanced daily itineraries for wellness retreats based on participant experience.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools to design wellness retreat schedules. It manages activity sequencing, mandatory rest periods based on participant levels, and meal spacing to ensure a balanced experience. Use generate_daily_schedule to build a full itinerary, validate_activity_sequence to check if a plan is appropriate for a specific level, calculate_rest_requirements to determine necessary buffers, and get_available_activities to browse the activity catalog.

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4 tools expose this connector's capabilities to your AI agent.

get_available_activities

Retrieves the list of all possible activities that can be included in a retreat

calculate_rest_requirements

Determines the necessary buffer time required between activities based on the user's level

generate_daily_schedule

Generates a complete, structured daily itinerary for a single day of the retreat

validate_activity_sequence

Checks if a proposed sequence of activities is physically and mentally appropriate for the chosen participant level

See how to talk to your AI agent using Wellness Retreat Schedule Generator.

Generate a 3-day retreat schedule for a Beginner with yoga (60m) and meditation (30m). Meals at 08:00, 12:00, and 19:00.

Day 1: 08:00 Breakfast, 09:00 Yoga (60m), 10:00 Rest, 12:00 Lunch, 14:00 Meditation (30m), 14:30 Rest, 19:00 Dinner.

Is a sequence of 'Hiking' followed by 'Vigorous Yoga' okay for a Beginner?

No, that sequence is not appropriate for a Beginner because it lacks a sufficient rest buffer between two high-intensity activities.

What activities are available in the Physical category?

The available physical activities include hiking, vigorous yoga, and aerobics.

The tool adjusts rest periods and activity density using `calculate_rest_requirements`. Beginners receive longer buffers, while Advanced participants can handle more condensed schedules.

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