# Repair-or-Replace Decision Engine AI Agent Connect > Repair-or-Replace Decision Engine MCP analyzes your asset condition, repair quotes, and warranty status to determine the smartest financial move. It weighs the cost of a fix against the price of a new replacement to give you a clear REPAIR, REPLACE, or NONE recommendation based on your specific budget and long-term goals. ## Overview - **Category:** finance - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_Qae6SQuwS5y0fKZhbSSbrCH9FaYK5l41pAtNhBgS/ai-agent-connect - **Tags:** economics, maintenance, budgeting, asset-lifecycle, optimization ## Description Managing a fleet of equipment or hardware often leads to the same headache: is this broken item worth the repair bill, or should you just buy a new one? This MCP takes the guesswork out of asset lifecycle management. You provide the repair quotes, the current condition of the item, and any remaining warranty details. Your AI client then runs these numbers through a logic engine to see if a repair actually makes sense. It doesn't just look at the sticker price; it factors in how much warranty coverage you have left to lower your effective costs. If you're trying to minimize immediate spending, it'll tell you that. If you're looking for something that lasts longer, it'll pivot the recommendation toward replacement. It's a data-driven way to handle maintenance decisions without running manual spreadsheets every time something breaks. ## Tools ### analyze_repair_viability This tool checks if a repair is physically possible and economically sensible for your specific asset. ### calculate_decision_plan This tool generates a final REPAIR, REPLACE, or NONE recommendation by weighing your budget against your priorities. ### compare_replacement_options This tool finds the best replacement items by looking at what's available and what fits your budget. ### evaluate_warranty_impact This tool calculates your actual out-of-pocket cost by applying any remaining warranty coverage to the repair quote. ## Prompt Examples **Prompt:** ``` My laptop repair quote is $300, but a new one costs $800. The condition is 'Fair'. Is repair viable? ``` **Response:** ``` Yes, the repair is viable as the cost is well within the threshold compared to the replacement cost. ``` **Prompt:** ``` I have a $500 budget. A repair costs $450 and a replacement costs $600. What should I do if I want to minimize cost? ``` **Response:** ``` REPAIR. The repair cost of $450 is within your $500 budget and is the cheaper option. ``` **Prompt:** ``` The repair quote is $200, but I have 6 months of warranty left that covers this damage. What is my effective cost? ``` **Response:** ``` Your effective repair cost is $0 because the remaining warranty covers the damage. ``` ## Capabilities ### Economic Viability Checks Your agent uses this to see if a repair cost is too high relative to the asset's value. ### Warranty Cost Reduction The AI calculates how much warranty coverage lowers your actual repair bill. ### Budget-Based Recommendations Your agent picks the best path based on the specific dollar limits you set. ### Replacement Sourcing The AI identifies new items that fit your budget and availability needs. ### Priority Modeling Your agent shifts between cost-minimization and asset longevity based on your instructions. ## Use Cases ### IT Hardware Refresh Decide if a broken workstation should be fixed or replaced with a newer model. ### Fleet Maintenance Determine if a vehicle repair is worth the cost given its current age and condition. ### Warranty Optimization Check if a repair is covered by an existing warranty before paying out of pocket. ### Budget Planning Run multiple scenarios to see how repair costs impact your quarterly maintenance budget. ## Benefits - Removes emotional bias from repair decisions. - Accounts for warranty coverage to find true costs. - Provides clear REPAIR or REPLACE outcomes. - Matches decisions to specific budget constraints. ## How It Works Connect the MCP to your AI client and start feeding it asset data to get instant recommendations. 1. Connect the MCP to Claude, Cursor, or Windsurf via Vinkius. 2. Provide your repair quote and the asset's current condition to your agent. 3. Input any relevant warranty information to adjust the cost. 4. Tell your agent if you want to prioritize low cost or long-term use. 5. Receive a final REPAIR, REPLACE, or NONE recommendation. ## Frequently Asked Questions **How does this MCP help with asset management?** It automates the math behind deciding whether to fix an item or buy a new one by looking at costs, warranties, and budgets. **Can I use this with Claude or Cursor?** Yes, you can connect this MCP to any compatible client like Claude, Cursor, or Windsurf through the Vinkius platform. **Does it factor in warranty coverage?** Yes, it includes a tool specifically to calculate how much your warranty reduces the effective cost of a repair. **What kind of recommendations does it give?** It provides a final decision of REPAIR, REPLACE, or NONE based on the data you provide. **Do I need to host this myself?** No, Vinkius hosts and manages the MCP so it is ready to use immediately after you connect your client. **How does the engine decide between repair and replacement?** The decision is made by weighing the final repair cost against the replacement cost, while strictly adhering to your provided budget limit and strategic priorities like cost-minimization or longevity. **Can I use this to manage my maintenance budget?** Yes. By using `calculate_decision_plan`, you can ensure that any recommended action stays within your defined budget limit. **Does warranty coverage affect the decision?** Absolutely. The `evaluate_warranty_impact` tool adjusts the initial repair quote to reflect the effective cost after applying any remaining warranty coverage.