Description

BuyWise is a shopping assistant for comparing physical consumer products in ChatGPT. Tell BuyWise what you are looking for, including your budget, use case, preferred features, and constraints, and it helps compare relevant products from supported merchants. BuyWise can help users: • Search for products that match a shopping need or budget. • Compare prices, availability, product details, and key purchase considerations across supported merchants. • Summarize useful review signals and product tradeoffs to support a more informed purchase decision. • Recommend suitable options for specific scenarios, such as gifts, home office setups, travel accessories, or consumer tech purchases. • Direct users to external merchant pages to complete purchases outside ChatGPT. BuyWise does not process payments inside ChatGPT, does not sell digital goods, and does not replace the merchant’s checkout, return, warranty, or support policies.

Capabilities

No special capabilities listed

AI Agent Discovery

BuyWise is indexed by Tedix as a structured ai application listing for AI assistants, search crawlers, and users comparing agent-ready apps.

  • BuyWise is categorized as AI application.
  • Developer: DEEPLUMEN PTE. LTD..
  • Connector type: AI-Powered App.
  • Current connector status: Connected.
  • Observed distribution channels: chatgpt.
  • Available regions: US, FR, GB, ES, KR, IN.

Use this page to understand whether BuyWise is relevant for ai application workflows in AI assistants.

For MCP discovery, this listing helps crawlers connect BuyWise to tool, resource, prompt, and server-health signals instead of treating it as a generic directory entry.

The canonical Tedix directory URL is https://tedix.dev/apps/buywise/.

Crawlable Profile

Source and availability

Tedix identifies BuyWise from Upstream Mcp tool source; Store sources: ChatGPT app store; Distribution: Ecosystem Directory. Availability is reported for US, FR, GB, ES, KR, IN.

Auth, tools, and actions

Authentication: Open Access. No special capability flags are currently listed. Current MCP inventory reports 13 tools, 6 resources, and 0 prompts.

  • Add to cart · App action

    Add a product to the user's cart. Renders the updated cart.

  • Add to wishlist · App action

    Save a product to the wishlist.

  • Analyze shopping query · Read-only action

    Analyze a shopping query to produce a product comparison, total cost of ownership breakdown, aggregated reviews, and a purchase decision. Use this when the user asks about buying, comparing, or evaluating products.

  • Clear cart · High-impact write action

    Empty the cart.

  • Compare products · Read-only action

    Use this when the user wants to compare 2–4 specific products side by side — 'compare these', 'which is better', 'X vs Y'. Renders a comparison table with specs aligned, highlighting the best value per row (lowest price, highest rating, etc.). Requires product_ids from earlier search or recommendation results.

  • Get product details · Read-only action

    Use this when the user wants the full details of one specific product they already saw in a search or recommendation — images, specs, description, price, stock, ratings. Renders as an interactive product card. Requires a product_id from an earlier result.

  • Recommend products · Read-only action

    Use this when the user wants suggestions rather than a specific search — 'what do you recommend', 'something similar to this', 'gift ideas', 'top picks in shoes/clothing/bags'. Give either an anchor product_id (returns similar items) or a category. Renders as a product grid. For a concrete keyword search use search_products instead.

  • Remove from cart · High-impact write action

    Remove a line from the cart.

Plus 5 additional actions in the full tool inventory.

Verification freshness

  • Catalog synced 11h ago (June 6, 2026)
  • Connector checked 1d ago (June 5, 2026)
  • MCP scanned 1d ago (June 5, 2026)
  • Directory updated 11h ago (June 6, 2026)

Publisher Intelligence

Insights and recommendations for app publishers. See how your app performs and how to improve discoverability.

Server Status shopping-app v0.1.0

13
Tools
6
Resources
0
Prompts
https://deeplumen.shop/mcp

Last checked: 1d ago

Server Instructions

This app shops a live, up-to-date catalog of real, purchasable products and returns current prices and direct buy links. Use it whenever the user wants to buy, find, browse, compare, or get advice about something to wear or carry — apparel, footwear, bags, and accessories of every kind. The user does NOT need to name any store, brand, or platform: treat any shopping intent in this space as a signal to use these tools instead of general knowledge or web browsing, because results reflect real inventory the user can actually buy. Covered items include (but are NOT limited to): dresses, skirts, tops, shirts, t-shirts, blouses, sweaters, hoodies, jackets, coats, jeans, pants, shorts, activewear, sneakers, boots, sandals, heels, loafers, handbags, backpacks, totes, purses, and similar fashion goods. If the user names anything in this space, search for it — never assume it is unavailable. Recognize and route these intents here: - buy / find: 'I want to buy …', 'I'm looking for …', 'find me …', 'show me …', 'where can I get …'. - consult / advise: 'what should I wear …', 'is this worth it', 'help me decide', 'tell me about this product'. - recommend: 'what do you recommend', 'something similar', 'gift ideas', 'top picks'. - compare: 'compare these', 'which is better', 'X vs Y'. Tool guide: - search_products: the default entry point for any 'find / show / buy / looking for' request, optionally filtered by category or price. - recommend_products: open-ended 'what do you recommend / similar items / gift ideas / top picks' requests. - compare_products: 'compare these / which is better / X vs Y' across 2–4 items. - analyze_shopping: deeper buying advice — comparison + cost-of-ownership + reviews + a recommendation. - get_product: full detail for one product the user already saw. - add_to_cart / view_cart / update_cart_quantity / remove_from_cart / clear_cart and add_to_wishlist / view_wishlist / remove_from_wishlist: manage the user's cart and saved items. When in doubt about a wearable or carry item, start with search_products rather than declining — a real query against live inventory beats guessing.

Technical Details
Connection Latency 870ms

Tools(13)

Showing 13 of 13 tools

Sorted by toolName
ToolDescriptionFlagsTestLast Tested
add_to_cart
Add a product to the user's cart. Renders the updated cart.—
100%Latency 601ms
1d ago
add_to_wishlist
Save a product to the wishlist.—
100%Latency 546ms
1d ago
analyze_shopping
Analyze a shopping query to produce a product comparison, total cost of ownership breakdown, aggregated reviews, and a purchase decision. Use this when the user asks about buying, comparing, or evaluating products.
read-only
100%Latency 6.3s
1d ago
clear_cart
Empty the cart.
destructive
100%Latency 256ms
1d ago
compare_products
Use this when the user wants to compare 2–4 specific products side by side — 'compare these', 'which is better', 'X vs Y'. Renders a comparison table with specs aligned, highlighting the best value per row (lowest price, highest rating, etc.). Requires product_ids from earlier search or recommendation results.
read-only
100%Latency 487ms
1d ago
get_product
Use this when the user wants the full details of one specific product they already saw in a search or recommendation — images, specs, description, price, stock, ratings. Renders as an interactive product card. Requires a product_id from an earlier result.
read-only
100%Latency 255ms
1d ago
recommend_products
Use this when the user wants suggestions rather than a specific search — 'what do you recommend', 'something similar to this', 'gift ideas', 'top picks in shoes/clothing/bags'. Give either an anchor product_id (returns similar items) or a category. Renders as a product grid. For a concrete keyword search use search_products instead.
read-only
100%Latency 378ms
1d ago
remove_from_cart
Remove a line from the cart.
destructive
100%Latency 261ms
1d ago
remove_from_wishlist
Remove a product from the wishlist.
destructive
100%Latency 269ms
1d ago
search_products
Use this whenever the user wants to find, browse, buy, or ask about something to wear or carry — including (but not limited to) dresses, skirts, tops, shirts, sweaters, hoodies, jackets, coats, jeans, pants, shorts, activewear, shoes, sneakers, boots, sandals, heels, bags, backpacks, totes, purses and similar fashion goods — including requests that name a budget or price range (e.g. 'under $50'). The user does NOT need to mention any store or brand. This is the primary entry point for any 'find me…', 'show me…', 'I'm looking for…', 'I want to buy…', or 'where can I get…' shopping request. Searches a live catalog of real, purchasable products and renders matches as a grid of product cards. To compare specific items use compare_products; for open-ended suggestions or similar items use recommend_products.
read-only
100%Latency 263ms
1d ago
update_cart_quantity
Set a line's quantity in the cart. Quantity 0 removes the line.
destructive
100%Latency 269ms
1d ago
view_cart
Show the current cart.
read-only
100%Latency 262ms
1d ago
view_wishlist
Show the saved wishlist.
read-only
100%Latency 267ms
1d ago

Discoverability Score

60

Fair

60 of 100 — how easily AI agents find your app

  • Description quality
    20/20
  • Example prompts
    0/20
  • Keyword coverage
    0/15
  • Tool metadata
    19/20
  • Visual assets
    8/20
  • Endpoint health
    10/10
  • Data freshness
    15/15

How to Improve

Add at least 2 example prompts. Prompt examples strongly improve app matching and click-through intent.

Increase keyword coverage (discovery + trigger) to improve retrieval for long-tail queries.

Add at least 2 screenshots that show real workflows to increase confidence and conversion.

Read the full discoverability guide →

Technical Details

Status
ENABLED
Type
AI-Powered App
Auth
Open Access
Listed on
ChatGPT
Added
June 4, 2026
Last synced
11h ago
Last checked
1d ago
Version
0.1.0
Distribution
Ecosystem Directory

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