# Food Delivery Fee Comparator AI Agent Connect > Food Delivery Fee Comparator MCP calculates the actual cost of getting your food. It looks past the menu price to account for delivery markups, service fees, tips, and even the gas you'd spend driving to pick it up yourself. Your AI client uses these calculations to tell you if staying on the couch or hitting the road is actually cheaper. ## Overview - **Category:** finance - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_ZUIgm6spGMVmuAUmRPCrTBiPXdB6czcb9AfdDdpF/ai-agent-connect - **Tags:** delivery, cost-comparison, travel-costs, food-delivery, savings ## Description You often wonder if that delivery fee is actually worth it. This MCP gives your AI client the math it needs to answer that question. Instead of just looking at the menu price, your agent can now factor in the hidden costs that delivery apps use to pad their margins. When you ask your AI to help you decide what to eat, it can now run a full economic breakdown. It calculates the markup penalty on delivery menus, the total sum of service fees and tips, and the impact of travel distance on pickup orders. You'll finally see the side-by-side cost of dining in, picking up, or having a driver bring it to your door. It turns a vague guess into a hard number, helping you decide if the convenience of delivery is actually costing you an extra ten or twenty dollars per meal. ## Tools ### calculate_travel_impact This tool determines how physical distance shifts the economic favorability of Pickup vs. Delivery. It helps your agent see if driving is cheaper than paying for a driver. ### compare_fulfillment_costs This tool compares the total cost of Pickup, Delivery, and Dine-in fulfillment models. It provides a direct side-by-side look at your three main options. ### get_delivery_fee_breakdown This tool isolates and displays the sum of all non-food costs associated with a delivery order. It pulls out the specific service fees and tips from the total. ### evaluate_markup_penalty This tool quantifies the financial penalty of using delivery services due to inflated menu prices. It shows exactly how much the restaurant increased the price for the app. ## Prompt Examples **Prompt:** ``` Compare the costs for a $50 order with a 15% delivery markup, a $5 delivery fee, a $3 service fee, a $5 tip, and a 10-mile distance with a $0.50 travel cost per mile. ``` **Response:** ``` The cheapest method is Pickup, costing $59.00, compared to Delivery at $78.25 and Dine-in at $55.00. ``` **Prompt:** ``` How much extra am I paying for delivery markup on a $30 order if the markup is 20%? ``` **Response:** ``` The delivery markup penalty is $6.00, making the delivery base price $36.00. ``` **Prompt:** ``` What is the total of the delivery surcharges for a $4 fee, $2 service fee, and $6 tip? ``` **Response:** ``` The total delivery surcharges are $12.00. ``` ## Capabilities ### Fulfillment Comparison Your agent compares the total price of pickup, delivery, and dining in. ### Markup Analysis The AI calculates how much extra a restaurant charges specifically for delivery orders. ### Fee Isolation Your agent sums up all service fees, delivery fees, and tips separately from the food cost. ### Travel Costing The tool factors in mileage and travel expenses to see if driving is worth the savings. ## Use Cases ### The Delivery vs. Pickup Decision You ask your agent if it's cheaper to drive 5 miles to get tacos or pay the delivery fees to have them brought to you. ### Uncovering Hidden Markups You check how much a restaurant has inflated its menu prices specifically for delivery apps. ### Total Order Auditing You use the tool to see exactly how much of your bill went to fees and tips rather than the food itself. ### Daily Budgeting You have your AI agent calculate the most economical way to eat out during the week. ## Benefits - Identifies hidden menu markups used by delivery platforms. - Calculates the true cost of travel for pickup orders. - Provides a clear side-by-side comparison of all fulfillment options. - Breaks down non-food surcharges like service fees and tips. ## How It Works Connecting this MCP to your AI client gives it a mathematical engine for food economics. 1. Connect the MCP to your AI client through Vinkius. 2. Provide your order details like menu price, fees, and distance to your agent. 3. The agent calls the necessary tools to run the math. 4. Your agent presents the final cost comparison for pickup, delivery, or dine-in. ## Frequently Asked Questions **What does this MCP actually calculate?** It calculates the total cost of food acquisition by factoring in menu markups, delivery fees, service fees, tips, and travel expenses. **Which AI clients can use this?** You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code. **Can it tell me if driving is cheaper than delivery?** Yes, the calculate_travel_impact tool specifically determines how distance affects the cost difference between pickup and delivery. **Does it account for restaurant markups?** Yes, the evaluate_markup_penalty tool calculates the extra amount charged due to inflated delivery menu prices. **How do I get started?** Since Vinkius hosts the MCP, you just connect it once from your preferred client and it is ready to use immediately. **How does this tool calculate travel costs?** Travel costs are calculated by multiplying the distance by the provided travel cost per unit. For Pickup, it calculates a round trip, while for Delivery, it calculates the one-way trip from the restaurant to your home. **What is a delivery markup?** A delivery markup is the additional percentage added to the base menu price by third-party platforms. You can use `evaluate_markup_penalty` to see exactly how much this increases your total. **Can I compare specific delivery fees?** Yes, you can use `get_delivery_fee_breakdown` to isolate and view the sum of delivery fees, service fees, and tips.