# Vehicle Trim Comparison Engine AI Agent Connect > Vehicle Trim Comparison Engine lets your AI client evaluate competing car trims using weighted scoring. You can assign importance to price, features, or cargo space to see which vehicle actually wins based on your priorities. It handles the math for ranking, feature overlap, and fuel efficiency comparisons across different vehicle groups. ## Overview - **Category:** automotive - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_XaWem6M8BbwXYBrW6fomDh0EFCjOenTDPSN1wUAW/ai-agent-connect - **Tags:** vehicle, ranking, comparison, automotive-data, scoring ## Description Buying or analyzing vehicles usually involves staring at endless spec sheets. This MCP changes that by turning raw data into a mathematical ranking. Instead of guessing which trim offers better value, you tell your AI client which factors matter most. If you care more about cargo capacity than price, you set that weight, and the engine calculates the winner. You can use it to see if a specific trim actually has the features you want or to compare how different fuel types stack up. It's built to handle the heavy lifting of comparing technical specifications so you can make a decision based on numbers rather than marketing fluff. Whether you're looking at fuel hierarchies or checking if a luxury trim includes a specific sunroof, the engine provides clear, weighted results. ## Tools ### compare_fuel_efficiency This tool evaluates fuel type hierarchies across a group of vehicles. It helps your agent see how different engine types compare in efficiency. ### calculate_feature_overlap This tool checks how well a specific trim meets your requirements. It identifies which features are present and which are missing. ### get_trim_details This tool pulls raw specification data for a vehicle. Use it to grab the exact numbers you need for a comparison. ### rank_vehicle_trims This tool generates a weighted ranking of multiple vehicle trims. You provide the importance of different attributes to get a stable, scored list. ## Prompt Examples **Prompt:** ``` Rank these three trims: Trim A ($30k, heated seats, 15cf cargo), Trim B ($35k, sunroof, 20cf cargo), and Trim C ($25k, basic features, 10cf cargo). Weight price at 0.5 and features at 0.5. ``` **Response:** ``` The ranked list is: 1. Trim A (Score: 0.75), 2. Trim C (Score: 0.60), 3. Trim B (Score: 0.45). The price delta is $10,000. ``` **Prompt:** ``` Does the 'Luxury Edition' trim include 'heated seats' and 'panoramic sunroof'? ``` **Response:** ``` The 'Luxury Edition' trim has a 50% feature overlap, as it includes heated seats but is missing the panoramic sunroof. ``` **Prompt:** ``` Compare the fuel efficiency of an Electric SUV and a Gasoline Sedan. ``` **Response:** ``` The Electric SUV is the most efficient type in this comparison. ``` ## Capabilities ### Weighted Scoring Your agent calculates rankings by applying custom importance to price, features, or utility. ### Feature Gap Analysis The AI identifies exactly which features are included or missing in a specific trim. ### Fuel Efficiency Comparison Your agent compares efficiency levels across different vehicle types and fuel hierarchies. ### Specification Lookups The tool retrieves raw technical data for specific vehicle trims. ## Use Cases ### Personal Car Shopping Compare three different trims of the same car to see which one fits your budget and feature list best. ### Fleet Selection Rank a group of SUVs based on cargo capacity and fuel efficiency for business operations. ### Feature Verification Check if a specific trim level actually includes the safety or comfort features you require. ### Price vs. Value Analysis Use weighted scoring to determine if a more expensive trim is actually worth the extra cost based on its features. ## Benefits - Removes guesswork by using weighted math for rankings. - Identifies feature gaps between different vehicle trims. - Provides a clear hierarchy of fuel efficiency across vehicle groups. - Turns raw spec sheets into actionable, scored lists. ## How It Works Connecting this MCP to your AI client gives it the ability to perform complex automotive math. 1. Connect your AI client to the Vinkius-hosted MCP. 2. Provide your agent with vehicle trim data or specific attributes. 3. Define the weights for the attributes you care about most. 4. The agent runs the ranking or comparison tools. 5. Receive a scored list or a feature overlap report. ## Frequently Asked Questions **How does the ranking work?** The engine uses weighted scoring. You tell the AI how much importance to give to things like price or cargo space, and it calculates a score for each trim. **Can I compare different types of fuel?** Yes. The tool includes a specific function to compare fuel efficiency across different vehicle groups and fuel types. **What clients can I use this with?** You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code. **How do I check if a car has a specific feature?** You can use the feature overlap tool to see which requirements a specific trim meets and which ones it misses. **Do I need to host this myself?** No. Vinkius hosts and manages the MCP, so it is ready to use as soon as you connect your client. **How do I rank multiple vehicles at once?** You can use the `rank_vehicle_trims` tool by providing an array of trim objects and a weights object that defines the importance of each attribute. **Can I check if a specific trim has the features I need?** Yes, use the `calculate_feature_overlap` tool to determine the percentage of your required features that are included in a specific trim. **How are the scores calculated?** Scores are calculated by normalizing each attribute (0 to 1) and multiplying it by your provided weight. For price, a lower value results in a higher score.