# Weekly Energy Plan AI Agent Connect > Weekly Energy Plan MCP syncs your to-do list with your biological clock. Instead of fighting fatigue, you use your AI client to map demanding tasks to peak energy windows and light work to your natural dips. It handles the math of checking if a task actually fits your available focus time and audits your final plan to ensure you don't burn out. ## Overview - **Category:** productivity - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_Wys6Cbszg2LNoyx0LYdjQaB7RWgaT1quChS4MxAU/ai-agent-connect - **Tags:** energy, scheduling, productivity, optimization, time-management ## Description Stop fighting your own biology. Most schedules fail because they treat every hour of the day as equal, but you know that a 2:00 PM slump is real. This MCP changes how you plan your week by treating your energy as a finite, fluctuating resource. Your AI client uses this MCP to look at your specific energy profile and decide when you should tackle deep work versus administrative chores. It doesn't just guess; it validates whether a task is actually doable given your current energy levels and upcoming deadlines. You can ask your agent to build a full weekly layout or just check if a single high-intensity task fits into a specific afternoon window. It acts as a logic layer between your task list and your calendar, ensuring your schedule respects your natural rhythms so you can actually stick to it. ## Tools ### check_schedule_feasibility This tool audits your completed schedule to make sure it actually works. It checks the final plan against your energy levels and deadlines to catch errors before you start your week. ### validate_task_requirements This tool checks if a specific task is realistic. It compares the difficulty of a task against your available energy constraints to see if it can physically fit. ### generate_weekly_schedule This tool builds your weekly plan. It takes your tasks and allocates them across the week based on your energy patterns. ### get_energy_profile This tool pulls your specific energy data for a given day. It provides the foundation for how your AI client understands your focus peaks and valleys. ## Prompt Examples **Prompt:** ``` Can you create a schedule for my Monday based on my energy profile? ``` **Response:** ``` I've built your Monday schedule. I put your heavy lifting at 10:00 AM during your peak and moved the lighter tasks to your mid-afternoon dip. ``` **Prompt:** ``` Is it possible to fit a 60-minute demanding task into my current energy window? ``` **Response:** ``` No, your energy level in that window isn't high enough to handle a demanding task of that length. ``` **Prompt:** ``` Check if this proposed schedule for Tuesday is valid. ``` **Response:** ``` The Tuesday schedule is valid. All tasks fit within your energy limits and meet your deadlines. ``` ## Capabilities ### Energy-Aware Scheduling Your agent maps task difficulty to your daily focus peaks. ### Task Feasibility Checks The AI verifies if you have enough energy to complete a specific task in a given window. ### Schedule Auditing Your agent runs a post-generation check to ensure the plan respects all constraints. ### Biological Rhythm Mapping The MCP uses your predefined energy profile to drive all scheduling decisions. ## Use Cases ### Deep Work Planning You ask your agent to find the best 2 hour window on Wednesday for intense research based on your profile. ### Burnout Prevention The AI flags a schedule if you try to stack too many demanding tasks in a row during an energy valley. ### Weekly Reset You provide a list of tasks for the week and let the MCP generate a balanced plan that follows your rhythm. ### Real-time Adjustments When a new urgent task arrives, you check if it can actually fit into your current day without breaking your plan. ## Benefits - Matches high-effort work to peak focus periods. - Prevents burnout by identifying impossible task windows. - Automates the logic of weekly time allocation. - Uses real energy data instead of arbitrary time blocks. ## How It Works The MCP connects your energy data to your task list through your AI client. 1. Connect your preferred MCP-compatible client to Vinkius. 2. Your agent retrieves your energy profile for the week. 3. You provide a list of tasks and their difficulty levels. 4. The MCP generates a schedule that aligns tasks with your energy peaks. 5. The agent audits the plan to ensure it is feasible and meets all deadlines. ## Frequently Asked Questions **How does this MCP know my energy levels?** It uses the get_energy_profile tool to access your predefined energy data for specific days. **Can I use this with Claude or Cursor?** Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf. **What happens if I try to schedule too much work?** The validate_task_requirements tool will check if the task fits your constraints, and the check_schedule_feasibility tool will audit the final plan to ensure it is valid. **Do I need to host this myself?** No, Vinkius hosts and manages the MCP for you. You just connect and start using it. **Can it handle deadlines?** Yes, the feasibility tools check your schedule against both your energy levels and your specific deadlines. **How does the scheduler decide when to assign a task?** The engine uses `get_energy_profile` to identify high-energy segments for demanding tasks and low-energy segments for light tasks, ensuring all tasks meet their deadlines. **Can I verify if my schedule is actually possible?** Yes, you can use the `check_schedule_feasibility` tool to perform a post-generation audit that checks for energy capacity violations or deadline breaches. **What happens if a task is too difficult for my current energy level?** The `validate_task_requirements` tool will identify if a task's energy cost exceeds the available energy in a given window, preventing impossible schedules.