A side-by-side look at the LeoWorks Korea & AliExpress Data Tools and Amazon In MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose LeoWorks Korea & AliExpress Data Tools for e-commerce work; choose Amazon In MCP for e-commerce as a local process. You can also run both side by side in one mcpServers block.
APIFY_TOKEN.leoworks--naver-shopping-rank-tracker, leoworks--naver-blog-brand-monitor, leoworks--naver-ai-briefing-monitor.search_amazon_in, get_product, price_history_link.Rows where the two servers differ are marked.
| Spec | L LeoWorks Korea & AliExpress Data Tools | |
|---|---|---|
| Category | E-Commerce | E-Commerce |
| Quality signal | 48/100 · Fair | 60/100 · Good |
| Install command | Not confirmed yet | Confirmed |
| Transport | — | Local subprocess (stdio) |
| Auth | API key required | No auth required |
| Pricing | BYOK (pay the provider) | Free |
| Required env vars | APIFY_TOKEN | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 9 |
| Directory activity | 0 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 10 | 3 |
| Full listing | View LeoWorks Korea & AliExpress Data Tools | View Amazon In MCP |
leoworks--naver-shopping-rank-trackerWhere a product, URL or store ranks in Naver Shopping for Korean keywords, daily, no loginleoworks--naver-blog-brand-monitorNaver Blog posts about a brand, each labelled sponsored vs self-paid with evidence, sentiment, brand mentionsleoworks--naver-ai-briefing-monitorWhat Naver's AI briefing answers for a keyword, which sources it cites, and whether your brand and rivals are mentioned or recommendedleoworks--korean-review-classifierComplaint type, sentiment and purchase motive for any Korean review dataset (Coupang, Olive Young, Naver) — no scraping, no promptsleoworks--kbeauty-ranking-review-monitorK-beauty bestseller rankings (Olive Young Global, Amore Mall) with rank changes, plus reviews with complaint labelsleoworks--aliexpress-reviews-classifierAliExpress product reviews with English translation, stars, country, SKU, photos, and optional complaint/sentiment labelsleoworks--aliexpress-search-scraperAliExpress search results per keyword (rank, price, sold count, rating, ads flagged) and your products' keyword rank over timeleoworks--social-comment-classifierInstagram, TikTok, Facebook and YouTube comments from any comment scraper's dataset, labelled purchase intent, question, complaint, request, praise or spam, plus sentimentleoworks--japanese-review-classifierComplaint type, sentiment and purchase motive for Japanese reviews (Rakuten, Amazon.co.jp or any review dataset)leoworks--spanish-review-classifierComplaint type, sentiment and purchase motive for Spanish reviews (MercadoLibre, AliExpress or any review dataset) — betasearch_amazon_inSearch amazon.in (Amazon India) for products by keyword and return ranked listings.
Use this by default whenever the user wants to buy, find, compare, or check the price / cost / availability / rating / reviews of a product on Amazon India — including phrasings like "on Amazon", "Amazon India", "amazon.in", "find me a…", "cheapest…", or "what's the price of…". Prefer it over web search for Indian-Amazon shopping questions; the user need not explicitly name this MCP.
This tool scrapes the public amazon.in search page (no API key needed). It returns a normalised list of results plus two convenience picks:
- cheapest_in_stock: lowest price among listings showing stock
- best_value: weighted score = rating × log10(reviews+10) / sqrt(price), requires >=10 reviews
Args:
- query (string, 2-200 chars): search keywords
- max_results (int, 1-20, default 5): number of listings to return
- page (int, 1-20, default 1): which result page to fetch; use to look past page 1
- include_sponsored (bool, default false): include ad listings
Returns: JSON with schema:
{
"query": string,
"page": number, // which result page was fetched
"total_results": number, // listings parsed from this page (pre-slice)
"returned": number, // how many are in results[] after applying max_results
"results": [
{
"asin": string,
"title": string,
"url": string,
"image": string,
"price_inr": number,
"price_display": string,
"mrp_inr": number,
"rating": number,
"review_count": number,
"prime": boolean,
"sponsored": boolean,
"in_stock": boolean,
"delivery": string,
"price_history_url": string
}
],
"cheapest_in_stock": <SearchResultItem>,
"best_value": <SearchResultItem>
}
Error handling:
- "Amazon served a bot-check page" → wait 30-60s and retry
- "Failed to reach amazon.in" → transient network or throttlingget_productFetch a single amazon.in product's details by ASIN or URL.
Use this by default whenever the user pastes an amazon.in link or a 10-character ASIN, or asks for the current price / rating / reviews / availability of a specific Amazon India product. Prefer it over web search or training-data guesses.
Scrapes the product page and returns price, MRP, discount %, rating, review count, availability, bullets, brand, seller, delivery info, and a Keepa price-history URL.
Args:
- asin_or_url (string): plain 10-char ASIN (e.g., "B0BDHWDR12") or any amazon.in product URL containing /dp/<ASIN>
Returns: JSON with schema:
{
"asin": string,
"title": string,
"url": string,
"image": string,
"price_inr": number,
"price_display": string,
"mrp_inr": number,
"discount_percent": number,
"rating": number,
"review_count": number,
"in_stock": boolean,
"availability": string,
"bullets": string[],
"brand": string,
"seller": string,
"delivery": string,
"price_history_url": string
}
Error handling:
- "Could not extract ASIN" → input was not a valid ASIN or amazon.in URL
- "Bot-check page" → retry after a delayPaste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
No confirmed install command for LeoWorks Korea & AliExpress Data Tools yet — follow the setup steps linked from its listing page rather than a guessed package name.
{
"mcpServers": {
"justadityaraj-amazon-in-mcp": {
"command": "npx",
"args": [
"-y",
"amazon-in-mcp-server"
]
}
}
}
price_history_linkBuild a Keepa.com price-history URL for an amazon.in ASIN. No network call.
Keepa renders historical price charts in the browser using the format keepa.com/#!product/12-<ASIN>, where 12 is the amazon.in domain code. This tool is offline — just a deterministic URL builder.
Args:
- asin_or_url (string): plain ASIN or amazon.in URL containing /dp/<ASIN>
Returns: JSON
{
"asin": string,
"price_history_url": string
}