# Outdoor Day Count AI Agent Connect > Outdoor Day Count MCP lets your AI client process chronological logs of your time spent outside. Instead of staring at raw date lists, you can ask your agent to calculate your total active days, find your longest streaks, or pinpoint which months you were most active. It turns messy activity data into actionable insights through simple natural language requests. ## Overview - **Category:** productivity - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_heuBQu2zZlplQBYa2LmxB8iuxaTEf763ftXfAnjC/ai-agent-connect - **Tags:** outdoor, activity-tracking, fitness, health, analytics ## Description You have logs of when you were outdoors, but looking at a long list of dates doesn't tell you much about your actual habits. This MCP changes that by giving your AI client the ability to parse and analyze those date logs for you. You can stop manually counting entries and start asking questions about your behavior. If you want to know how many unique days you actually spent outside, your agent can pull that number instantly. You can narrow your focus to specific timeframes to see how your habits changed between seasons or months. It also handles the math for consecutive streaks, so you can see your longest runs of activity without doing the mental heavy lifting. Whether you are looking for peak activity months or checking your progress over a specific week, this MCP handles the data processing so you can focus on your next move. ## Tools ### get_activity_frequency_by_month This tool identifies which months had your highest volume of outdoor activity. It breaks down your logs to show seasonal trends. ### get_activity_streak This tool calculates your longest consecutive run of outdoor activity days. It finds the maximum number of days you stayed active without a break. ### get_outdoor_days_in_range This tool counts how many days you were active between two specific dates. It filters your logs to a precise window of time. ### get_total_outdoor_days This tool provides the total number of unique days you spent outdoors. It ignores duplicate entries for the same day to give an accurate count. ## Prompt Examples **Prompt:** ``` How many unique days was I outdoors in total based on these dates: ['2023-05-01', '2023-05-01', '2023-05-02']? ``` **Response:** ``` You were outdoors for a total of 2 unique days. ``` **Prompt:** ``` What is my longest outdoor activity streak for these dates: ['2023-06-01', '2023-06-02', '2023-06-03', '2023-06-05']? ``` **Response:** ``` Your longest consecutive streak is 3 days. ``` **Prompt:** ``` How many days was I outdoors between 2023-01-01 and 2023-01-10 given these dates: ['2023-01-01', '2023-01-05', '2023-01-15']? ``` **Response:** ``` You were outdoors for 2 days within that range. ``` ## Capabilities ### Streak Tracking Your agent uses this to find the longest period of uninterrupted outdoor activity. ### Monthly Trend Analysis The AI uses this to determine which months you are most active. ### Date Range Filtering Your agent uses this to isolate activity within specific start and end dates. ### Unique Day Counting The AI uses this to calculate the total number of distinct days spent outdoors. ## Use Cases ### Measuring Consistency Ask your agent to find your longest streak to see how well you maintained your outdoor habits. ### Seasonal Review Use monthly frequency tools to see if you are more active in the summer versus the winter. ### Specific Period Audits Check how many days you were active during a specific vacation or training block. ### Total Engagement Tracking Get a high level view of your total unique active days over a year or more. ## Benefits - Eliminates manual counting of activity logs. - Provides instant answers to complex date-based questions. - Identifies seasonal activity patterns through monthly breakdowns. - Calculates consecutive streaks without manual math. ## How It Works Connect the MCP to your client and start asking questions about your activity data. 1. Connect the MCP to your preferred client like Claude or Cursor via Vinkius. 2. Provide your activity date logs to your AI agent. 3. Ask a question about streaks, totals, or monthly trends. 4. The agent uses the specific MCP tools to process the logs and return the answer. ## Frequently Asked Questions **How do I use this MCP with Claude?** You connect to the MCP through the Vinkius platform. Once connected, you can use Claude to ask questions about your activity logs directly. **What kind of data does this MCP need?** The MCP works with chronological logs of outdoor activity dates. You provide the dates, and the tools analyze them. **Can I find my longest activity streak?** Yes, the get_activity_streak tool is specifically designed to find your longest consecutive run of active days. **Does it handle duplicate dates?** Yes, the get_total_outdoor_days tool counts unique days, so multiple entries for the same day won't inflate your total. **Can I analyze specific months?** Yes, the get_activity_frequency_by_month tool allows your agent to identify which months had the most activity. **How does the tool handle multiple activities on the same day?** The tools count unique calendar days. If you record multiple activities on the same date, it only counts as one unique day of outdoor activity. **What date format should I use?** All dates must be provided in ISO 8601 format (e.g., YYYY-MM-DD). **Can I check my activity for a specific month?** Yes, you can use `get_activity_frequency_by_month` to see how many unique days you were active in each month for a given year.