ZBS Index What actually exists in applied AI, with the source next to it

mcp server

BuyWhere Product Catalog

Search 1.5M+ products across 20+ platforms. Compare prices, find deals, browse categories.

Description as published by the maintainer. Source

  • version 1.0.0
  • active
  • retrieval

active — Most recent push to the repository was 2026-08-06. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

What this server can do

8 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

compare_products(ids)
Compare multiple products side-by-side. Returns price, brand, rating, and category for each. Required: ids.
find_best_price(region, country, category, country_code, product_name)
Use this whenever a user asks about prices, wants to find the cheapest option, or asks "what's the best price for X" or "where can I buy X for the lowest price". This finds the best current price across all merchants. Required: product_name.
find_similar(limit, product_id)
Find products similar to a given product using vector similarity. Returns up to 10 nearest neighbours by semantic meaning (title+description embedding). Useful for "more like this" recommendations. Required: product_id.
get_deals(limit, offset, region, country, currency, country_code, min_discount)
Get discounted products sorted by discount percentage. Returns products with original price and discount percentage. Supports currency, region (sea, us, eu, au) and country (SG, US, VN, MY, ...) filters.
get_product(id)
Get a specific product by its ID, including full details and current price. Required: id.
ingest_products(source, products)
Ingest (upsert) a batch of products into the BuyWhere catalog. Use this to add or update product listings from any merchant/source. Requires a valid API key with ingest permissions. Accepts up to 1000 products per call with source, SKU, title, price, URL, and optional metadata. Required: source, products.
list_categories(region, country, country_code)
List top-level product categories available in the BuyWhere catalog.
search_products(q, mode, limit, domain, offset, region, compact, country, category, max_price, min_price, country_code)
Search the BuyWhere product catalog by keyword. Returns products from e-commerce platforms across multiple regions (Singapore, US, etc.). Use compact=true for agent-optimized responses with structured_specs, comparison_attributes, and normalized_price_usd fields.

Last successful function declaration observed on . Source: https://mcp.buywhere.ai/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://mcp.buywhere.ai/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 0 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-08-06 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 91 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 1.0.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-06-21 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-05-05 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp tools declared 8 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe mcp.buywhere.ai
mcp endpoint status ok The server listed 8 functions when asked. as of probe mcp.buywhere.ai

Where to get it

Related, by what their authors tagged them

  • BuyWhere MCP Server — last commit 2026-08-06, shares buywhere, product-catalog, shopping-agent
    Agent-native product catalog for AI shopping agents. 296M+ products, 28 countries.
  • BuyWhere MCP — last commit 2026-07-30, shares buywhere, product-catalog, singapore
    Product search, price comparison, and affiliate-ready shopping across Singapore and US retailers.
  • Depureco Industrial Vacuum Explorer — last commit 2026-05-29, shares product-catalog
    Industrial vacuum configurator: 150+ products, 24 sectors, ATEX certifications, technical specs.

These share tags the maintainers applied themselves, such as buywhere, product-catalog, shopping-agent, singapore. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: buywhere, mcp-server, model-context-protocol, product-catalog, shopping-agent, singapore, southeast-asia.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. BuyWhere/buywhere on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://mcp.buywhere.ai/mcp — mcp.buywhere.ai, observed , trust tier 4.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.