# Healthy Habit Streak Plan AI Agent Connect > Healthy Habit Streak Plan MCP gives your AI client the logic needed to handle habit formation. It handles the math for habit calendars, predicts when you will hit specific milestones, and manages streak status including allowed skips. You can use it to validate your habit settings before you start a new routine. ## Overview - **Category:** productivity - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_PKIx8IAh43QwdTVjbXsBxP9cLqDI9b05TFoTSIet/ai-agent-connect - **Tags:** habit-tracker, streak-logic, scheduling, goal-setting, wellness ## Description You can use this MCP to turn your AI agent into a dedicated habit coach. Instead of just chatting about goals, your agent can now generate exact calendars using get_habit_calendar to show you exactly which days you need to perform a task. If you are aiming for a specific milestone, the agent uses generate_habit_targets to calculate the necessary completions and provide a timeline. Life isn't perfect, so this MCP includes logic to handle reality. Through calculate_streak_status, your agent can track if a streak is active or if you've used an allowed skip to keep the momentum going. You won't have to worry about broken rules or impossible schedules because validate_habit_configuration lets your agent check that your settings make sense before you commit. It's a way to move from vague intentions to a mathematically sound plan that your AI client can actually manage for you. ## Tools ### calculate_streak_status This tool checks if your current streak is still active, broken, or currently utilizing an allowed skip. It's how your agent knows if you're still on track after a missed day. ### generate_habit_targets This tool calculates exactly how many times you need to complete a habit to hit your next milestone. It turns a goal into a concrete number of repetitions. ### get_habit_calendar This tool produces a specific list of dates for your habit schedule. Your agent uses it to show you exactly when you need to act. ### validate_habit_configuration This tool verifies that your habit settings are logically sound. It prevents your agent from setting up a schedule that doesn't work. ## Prompt Examples **Prompt:** ``` Generate a daily habit calendar for 'Morning Meditation' starting from 2024-01-01 to 2024-01-31. ``` **Response:** ``` The scheduled dates for Morning Meditation are: 2024-01-01, 2024-01-02, 2024-01-03, 2024-01-04, 2024-01-05, 2024-01-06, 2024-01-07, 2024-01-08, 2024-01-09, 2024-01-10, 2024-01-11, 2024-01-12, 2024-01-13, 2024-01-14, 2024-01-15, 2024-01-16, 2024-01-17, 2024-01-18, 2024-01-19, 2024-01-20, 2024-01-21, 2024-01-22, 2024-01-23, 2024-01-24, 2024-01-25, 2024-01-26, 2024-01-27, 2024-01-28, 2024-01-29, 2024-01-30, 2024-01-31. ``` **Prompt:** ``` Check my streak for 'Running' if I completed it on 2024-05-01 and 2024-05-02, with 1 allowed skip, as of 2024-05-04. ``` **Response:** ``` Your current streak for Running is 'paused_by_skip' with a current streak count of 2 and 1 remaining skip. ``` **Prompt:** ``` When will I hit 10 completions for 'Reading' if I start on 2024-06-01 and read every 3 days? ``` **Response:** ``` You are expected to reach your 10th completion on 2024-06-28. ``` ## Capabilities ### Schedule Generation Your agent creates specific date lists for any habit frequency. ### Milestone Prediction The AI calculates the exact date you will reach a specific number of completions. ### Streak Management Your agent tracks active streaks and handles allowed skips to prevent total resets. ### Logic Validation The AI checks your habit rules to ensure they are mathematically possible. ## Use Cases ### Automated Habit Coaching An AI agent uses the streak status tool to check in on your progress and encourage you when you're close to a milestone. ### Predictive Goal Setting You tell your agent you want to read 50 books, and it uses target generation to tell you exactly when you'll finish based on your pace. ### Flexible Streak Tracking Your agent manages a running streak that doesn't break immediately if you use a pre-planned skip. ### Schedule Auditing Before starting a new routine, your agent validates the plan to make sure the frequency and dates make sense. ## Benefits - Automates the math behind habit streaks and milestones. - Allows for realistic planning by including allowed skips in streak logic. - Prevents scheduling errors through built-in configuration validation. - Provides precise date-based calendars for any habit frequency. ## How It Works Connecting this MCP to your AI client gives it immediate access to habit-tracking logic. 1. Connect the MCP to your client like Claude or Cursor via Vinkius. 2. Ask your agent to create a habit schedule or target. 3. The agent calls the necessary tools to perform the calculations. 4. Your agent presents the resulting dates, milestones, or streak status to you. ## Frequently Asked Questions **How does the streak logic handle missed days?** The MCP uses calculate_streak_status to determine if a streak is active or broken. It also supports allowed skips, which lets a streak stay alive even if you miss a day. **Can I use this with Claude or Cursor?** Yes. This MCP works with any MCP-compatible client, including Claude, Cursor, and Windsurf. **Does it create actual calendar files?** It generates a list of specific dates using get_habit_calendar, which your agent can then present to you or use to organize your schedule. **How does it predict when I will reach a goal?** The generate_habit_targets tool calculates the number of completions needed and the expected date based on your habit's frequency. **Do I need to host this myself?** No. Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect it. **Can I plan for specific days of the week?** Yes, by using `get_habit_calendar` with the 'specific_days' frequency type, you can generate a schedule for any set of weekdays. **How do I know when I will reach my habit goals?** You can use `generate_habit_targets` to provide a list of milestones, and the tool will return the estimated completion dates for each.