# Secondhand Purchase Value Scorer AI Agent Connect > Secondhand Purchase Value Scorer MCP calculates the real economic worth of used goods. It compares listing prices against brand-new retail costs, item condition, expected lifespan, and potential repair expenses. Your AI client uses these metrics to provide a single value score, helping you spot genuine bargains and avoid overpriced used items. ## Overview - **Category:** finance - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_TJu8m3cTnM13n3703HI8NgEbJlYPqn1lXh9QIIxH/ai-agent-connect - **Tags:** secondhand, value-scoring, comparison, shopping-assistant, economics ## Description You can stop overpaying for used gear by letting your AI client do the math. This MCP analyzes the hidden costs of secondhand shopping, like how much life is left in a battery or how much a dented screen will cost to fix. Instead of just looking at the sticker price, you'll get a calculated score that weighs the item's condition and remaining utility against what it would cost to buy it new today. When you're browsing marketplaces, you can feed your agent multiple listings to see which one offers the highest value. It's particularly useful when you're weighing a cheap item that needs work against a more expensive one that's ready to go. By factoring in delivery fees and repair impacts, you get a clear picture of the total investment required. Your agent handles the heavy lifting of comparing these variables, giving you a data-driven way to decide when to pull the trigger on a purchase. ## Tools ### compare_two_items This tool performs a head-to-head comparison between two specific used item listings to see which is the better buy. ### calculate_item_value This tool generates a single value score for one specific used item based on its price and condition. ### get_repair_impact_analysis This tool calculates exactly how much a specific repair cost will lower the overall value of an item. ### rank_multiple_listings This tool takes a list of different used item options and sorts them by their calculated value scores. ## Prompt Examples **Prompt:** ``` Calculate the value of a used laptop listed at $400, with a new price of $1000, a condition score of 0.8, 3 years of life remaining, $50 repair cost, and $20 delivery cost. Use equal weights for all factors. ``` **Response:** ``` The calculated value score for this laptop is 0.72, with a savings ratio of 0.57. ``` **Prompt:** ``` Compare two used bikes. Bike A: $200, new price $500, condition 0.9, 5 years life, $0 repair, $10 delivery. Bike B: $150, new price $500, condition 0.6, 2 years life, $40 repair, $5 delivery. Use weights: price 0.4, condition 0.3, life 0.2, repair 0.1. ``` **Response:** ``` Bike A is the better deal with a higher value score. ``` **Prompt:** ``` How much will a $100 repair cost reduce the value of a used camera priced at $300 (new price $800, condition 0.8, 4 years life, $0 delivery, weights: price 0.3, condition 0.3, life 0.2, repair 0.2)? ``` **Response:** ``` The repair will cause a 12% drop in the item's value score. ``` ## Capabilities ### Value Scoring Your agent assigns a numerical score to a used item to represent its true worth. ### Listing Comparison The AI compares two different listings to determine which one provides more value for the money. ### Repair Cost Analysis Your agent calculates how much a necessary repair will diminish the item's total value. ### Bulk Ranking The AI sorts through a collection of listings to find the highest-rated deals. ### Economic Modeling Your agent uses price, condition, and remaining life to model the item's economic utility. ## Use Cases ### Buying Used Electronics Evaluate a used laptop by comparing its price and condition against the cost of a brand-new model. ### Evaluating Repair Projects Determine if a cheap, broken item is worth fixing by calculating the repair impact on its total value. ### Marketplace Comparison Compare two different used bikes to see which one offers the best value based on age and condition. ### Inventory Sourcing Rank a list of several used items to identify which ones are the most profitable to buy. ## Benefits - Quantifies value using condition and remaining life metrics. - Accounts for hidden costs like repairs and delivery fees. - Ranks multiple options to highlight the best deals instantly. - Provides a direct comparison between two different items. ## How It Works Connect your AI client to Vinkius and start running value calculations immediately. 1. Connect your preferred MCP-compatible client to Vinkius. 2. Provide the item details like price, condition, and new retail cost to your agent. 3. The agent calls the specific tool needed for your request. 4. The MCP processes the math and returns a value score or comparison. 5. Your agent presents the final deal analysis to you. ## Frequently Asked Questions **What is the Secondhand Purchase Value Scorer MCP?** It is an MCP that allows your AI client to calculate the economic value of used items by comparing them to new prices and factoring in condition and repairs. **How does it determine if a used item is a good deal?** It uses a value score based on the item's price, its condition, how much life it has left, and any expected repair or delivery costs. **Can I compare multiple items at once?** Yes, you can use the rank_multiple_listings tool to sort a collection of different used item listings. **Does it account for repair costs?** Yes, the get_repair_impact_analysis tool specifically evaluates how much a repair will reduce an item's value. **Which AI clients can use this MCP?** You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code. **How is the value score calculated?** The score is calculated by applying user-defined weights to the item's condition, expected life, price, and repair costs, relative to the cost of buying the item brand new. **Can I prioritize certain factors like condition over price?** Yes, you can use `userWeights` to specify how much importance to give to condition, life, price, and repair costs. **How do I compare multiple used items at once?** You can use the `rank_multiple_listings` tool to provide a list of items and receive a ranked list from highest to lowest value.