# Class Pack Value Comparator AI Agent Connect > Class Pack Value Comparator MCP calculates the actual cost of fitness pricing models. It goes beyond simple math by factoring in your likelihood of using every credit before they expire and adding in your travel expenses. Your AI client uses these calculations to tell you if a monthly membership or a bulk pack actually saves you money. ## Overview - **Category:** finance - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_HbhxjKlLES0EO0GZxJMszFUv5nojSw5kKdmp3WPR/ai-agent-connect - **Tags:** pricing, fitness, cost-analysis, math, comparison ## Description Stop overpaying for gym memberships based on bad math. Most fitness pricing looks simple on paper, but the reality is different when you account for unused credits or the cost of driving to the studio. This MCP acts as a financial engine for your fitness budget. You can give your AI client the details of various pricing tiers, and it will run the numbers to find your lowest effective cost per session. It handles the heavy lifting of comparing drop-in rates, pre-paid bundles, and recurring monthly memberships. By factoring in your actual attendance probability, it prevents you from buying large class packs that you'll never fully use. It also includes travel costs in the final comparison so you see the true price of every visit. ## Tools ### compare_all_models This tool provides a side-by-side comparison of different pricing models. It lets your agent see how drop-ins, packs, and memberships stack up against each other. ### get_class_pack_value This tool calculates the true cost of a pre-paid bundle. It adjusts the price based on how likely you are to actually use the credits before they expire. ### get_drop_in_cost This tool determines the total cost of attending a specific number of classes using only single-session payments. ### get_membership_value This tool calculates the total cost associated with a recurring monthly membership model. ## Prompt Examples **Prompt:** ``` I want to attend 10 classes. Drop-in is $15, a 10-pack is $120 with an 80% chance I use them all, and a membership is $50/month plus $5 per class. Travel is $3 per visit. Which is cheapest? ``` **Response:** ``` The most economical choice is the class pack, with a total expected cost of $144.00. ``` **Prompt:** ``` Calculate the effective cost of a 20-class pack that costs $200 if I only have a 70% chance of using every credit and travel is $5 per visit. ``` **Response:** ``` The effective cost per class is $33.33, with a total expected cost of $210.00 for 14 expected visits. ``` **Prompt:** ``` What is the total cost for 5 drop-in sessions if each session is $20 and travel is $4? ``` **Response:** ``` The total cost for 5 drop-in sessions is $120.00. ``` ## Capabilities ### Attendance Probability Adjustment Your agent uses this to adjust the cost of class packs based on how many credits you actually intend to use. ### Travel Cost Integration The AI adds your commuting expenses to the session price to find the real cost of attending. ### Multi-Model Comparison Your agent compares different payment structures like memberships versus bulk packs in one go. ### Effective Cost Calculation The tool calculates the true price per session rather than just dividing the total price by the number of classes. ## Use Cases ### Membership vs. Pack Decision Decide if a monthly membership is cheaper than buying a 10-pack based on your expected weekly attendance. ### Travel Budgeting Determine if a cheaper class at a further studio is actually more expensive once you add gas and travel time. ### Credit Expiration Risk Calculate the real value of a class pack when you know you might not use all the credits before they expire. ### Drop-in Comparison Check if paying per session is more cost-effective for occasional attendees than committing to a bundle. ## Benefits - Accounts for unused credits in pre-paid bundles. - Includes travel expenses in the final cost comparison. - Compares different pricing structures side-by-side. - Provides the true cost per session instead of surface-level math. ## How It Works Connect your AI client to Vinkius to start running fitness cost comparisons immediately. 1. Connect your AI client to the Class Pack Value Comparator MCP via Vinkius. 2. Provide your pricing details, such as pack costs, membership fees, and travel expenses. 3. Tell your agent how many classes you plan to attend and your likelihood of using all credits. 4. Your agent uses the specialized tools to calculate the effective costs. 5. Receive a clear breakdown of the most economical option. ## Frequently Asked Questions **How does this MCP calculate the cost of a class pack?** It uses the get_class_pack_value tool to adjust the price based on your probability of actually using the credits before they expire. **Can I include travel costs in the comparison?** Yes, you can provide travel expenses to your agent, and it will include those costs in the final comparison of different models. **What AI clients can I use with this MCP?** You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code. **Does it compare monthly memberships?** Yes, the compare_all_models tool allows your agent to compare memberships against drop-ins and class packs. **Is there a way to see the cost of just drop-in sessions?** Yes, the get_drop_in_cost tool calculates the total cost for a specific number of single-session payments. **How does this tool account for unused class credits?** It uses an attendance probability coefficient. By using `get_class_pack_value`, the tool calculates the effective cost based on how many classes you are actually likely to attend, rather than the total number of credits purchased. **Does it include travel expenses in the comparison?** Yes. All models, including drop-in and membership, factor in the `travelCostPerVisit` to ensure you see the true total expenditure for each session. **Can I compare all my options at once?** Yes, you can use `compare_all_models` to receive a side-by-side breakdown of drop-in, pack, and membership costs to find the cheapest option.