MCP App Store
by KeenEthics
Other
Carparts.com icon

Carparts.com

by Carparts.com

Overview

Find the right auto parts with confidence. The CarParts.com app makes it fast and simple to shop millions of high-quality aftermarket parts designed for performance, reliability, and fit. Whether you’re fixing a daily driver, upgrading your ride, or tackling a DIY repair, CarParts.com helps you get the job done right, without the guesswork. Why Choose CarParts.com? > Guaranteed Fit – Shop by year, make, and model to ensure parts fit your vehicle > Huge Selection – From brakes and batteries to headlights, suspension, and accessories > Trusted Quality – Engineered parts built to meet or exceed OE standards > Great Value – Competitive prices and frequent deals > Fast, Reliable Shipping – Get parts delivered straight to your door > Easy Returns – Hassle-free returns for peace of mind Shop Smarter, Anytime, Anywhere on Carparts.com, iOS and Android Mobile App and ChatGPT conversational platforms

Tools

addToCart

ChatGPT
Add a part to a CarParts.com shopping cart. INPUTS: - sku (required): product SKU (e.g., "RH10010066") - productId (optional): product ID for accurate cart display - quantity (optional): number of items (default: 1) - brand (optional): product brand name - cartId (optional): existing cart ID to append items to the same cart - vehicle (optional): { year, make, model, submodel, engine } — fitment context recorded with the order RETURNS: The updated cart with all items, subtotal, and a checkout link to CarParts.com. Creates a new cart if no cartId is provided.

comparison

ChatGPT
Find alternative parts for a given product in the CarParts.com catalog. INPUTS: - itemId (required): the product ID to find alternatives for - vehicle (optional): { year, make, model } to restrict alternatives to compatible parts RETURNS: A side-by-side comparison set with prices, brands, feature/spec comparisons, and quality indicators (OE, aftermarket, etc.).

discovery

ChatGPT
Search the CarParts.com catalog for auto parts. INPUTS: - query (required): part name or keywords (e.g., "brake pads", "headlights", "oil filter") - vehicle (optional): { year, make, model, submodel, liter, cylinders } to filter results by fitment RETURNS: A list of matching parts with title, brand, image, pricing, and availability.

fitment

ChatGPT
Check whether a specific part is compatible with a given vehicle. INPUTS: - partNumber (required): SKU or part number to check - vehicle (required): { year, make, model } — minimum required fields - vehicle.submodel (optional): for more precise matching - vehicle.liter, vehicle.cylinders (optional): engine specs for exact fitment RETURNS: fits (true/false), matchDetails (exact vehicle match information), and reason (explanation if the part does not fit).

productDetails

ChatGPT
Get detailed product information for a specific part in the CarParts.com catalog. INPUTS: - productId (required): product ID or SKU - vehicle (optional): { year, make, model } to record fitment context RETURNS: Full product specifications and features, high-quality product images, current pricing and availability, customer ratings and reviews (if available), and installation highlights (Drop-In Fit, CAPA Certified, etc.).

shoppingCart

ChatGPT
View the contents of a CarParts.com shopping cart. INPUTS: - cartId (required): the cart ID returned by a previous addToCart call RETURNS: All cart items with images, titles, and quantities; subtotal, tax, shipping, and total; and a checkout link to CarParts.com.

vehicleImages

ChatGPT
Get a representative vehicle image for a given year, make, and model from CarParts.com CDN.

vehicleInfo

ChatGPT
Look up vehicle data and manage vehicle context for the CarParts.com catalog. ACTIONS: - getYears: list available vehicle years - getMakes: list makes for a given year (requires vehicle.year) - getModels: list models for year/make (requires vehicle.year, vehicle.make) - getSubmodels: list trims for year/make/model (requires vehicle.year, vehicle.make, vehicle.model) - getEngines: list engines for year/make/model/submodel (requires all four) - resolveVehicle: determine the next required field and fetch options; merges with stored context if contextId is provided - getContext: retrieve stored vehicle context by contextId - setContext: store or update vehicle context by contextId - clearContext: remove stored context by contextId

vinDecode

ChatGPT
Decode a VIN (Vehicle Identification Number) to identify the exact vehicle. INPUTS: - vin (required): a 17-character VIN (e.g., "1HGBH41JXMN109186") RETURNS: Vehicle details (year, make, model, submodel), engine specifications (cylinders, displacement, fuel type), ACES fitment IDs for precise part matching, and a vehicle image when available.

Example Prompts

Click any prompt to copy it.

App Stats

9

Tools

3

Prompts

ChatGPT

Platforms

Category

Car Shopping

Works with

ChatGPT

Data refreshed daily