Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Review classifiers & lead data for Google Maps, Naver and AliExpress — via Apify MCP
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
Authorization标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
在终端中运行这条命令
claude mcp add --transport http leoworks-data-tools 'https://mcp.apify.com/?tools=leoworks/naver-shopping-rank-tracker,leoworks/naver-blog-brand-monitor,leoworks/naver-ai-briefing-monitor,leoworks/korean-review-classifier,leoworks/kbeauty-ranking-review-monitor,leoworks/aliexpress-reviews-classifier,leoworks/aliexpress-search-scraper,leoworks/social-…' --header 'Authorization: your-value'运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"leoworks-data-tools": {
"url": "https://mcp.apify.com/?tools=leoworks/naver-shopping-rank-tracker,leoworks/naver-blog-brand-monitor,leoworks/naver-ai-briefing-monitor,leoworks/korean-review-classifier,leoworks/kbeauty-ranking-review-monitor,leoworks/aliexpress-reviews-classifier,leoworks/aliexpress-search-scraper,leoworks/social-…",
"headers": {
"Authorization": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"leoworks-data-tools": {
"type": "http",
"url": "https://mcp.apify.com/?tools=leoworks/naver-shopping-rank-tracker,leoworks/naver-blog-brand-monitor,leoworks/naver-ai-briefing-monitor,leoworks/korean-review-classifier,leoworks/kbeauty-ranking-review-monitor,leoworks/aliexpress-reviews-classifier,leoworks/aliexpress-search-scraper,leoworks/social-…",
"headers": {
"Authorization": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
Authorization 机密 HTTP header这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 illee 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:Authorization
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.3.0)于19天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, FactLot
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Cited CRE facts and deterministic calculators for agents: rent, CAM, debt sizing, IRR, parcel IDs.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Seventeen Apify actors for Google Maps review analysis, review health checks and lead scoring, Naver Place review analysis, review sentiment and complaint classification (Korean, Japanese, Spanish, Amazon, social comments), Naver Shopping and Naver Blog data, K-beauty rankings, AliExpress reviews and search, and B2B lead data — exposed as tools through the official Apify MCP server (hosted by Apify). This repository holds no server code: it describes a preconfigured server URL, a Claude Code plugin, and one page per tool with example prompts and sample output.
Each call runs on your Apify account and is billed per result at the actor's price; Apify's free monthly credit covers small tests.
/plugin install leoworks-data-tools --marketplace illee/leoworks-data-tools-mcp
On older Claude Code versions, use two steps:
/plugin marketplace add illee/leoworks-data-tools-mcp
/plugin install leoworks-data-tools@leoworks
Then run /mcp, pick leoworks-data-tools and sign in with your Apify account (OAuth).
Server URL (streamable HTTP):
https://mcp.apify.com/?tools=leoworks/naver-shopping-rank-tracker,leoworks/naver-blog-brand-monitor,leoworks/naver-ai-briefing-monitor,leoworks/korean-review-classifier,leoworks/kbeauty-ranking-review-monitor,leoworks/aliexpress-reviews-classifier,leoworks/aliexpress-search-scraper,leoworks/social-comment-classifier,leoworks/japanese-review-classifier,leoworks/spanish-review-classifier,leoworks/google-maps-review-classifier,leoworks/google-maps-lead-qualifier,leoworks/amazon-review-classifier,leoworks/job-posting-classifier,leoworks/company-website-classifier,leoworks/naver-place-review-classifier,leoworks/google-maps-review-health-check
Auth: Authorization: Bearer (Apify Console → Settings → API & Integrations), or leave the header out to sign in with OAuth. Keep only the tools you need in ?tools=.
Claude Code, without the plugin
claude mcp add --transport http leoworks "<server URL>" --header "Authorization: Bearer YOUR_APIFY_TOKEN"
Claude Desktop / Cursor (mcp.json)
{ "mcpServers": { "leoworks": { "url": "<server URL>", "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" } } } }
Google Maps
Review & comment classifiers
Korea: Naver & K-beauty
AliExpress
B2B lead data
More prompts, an input example and sample output for every tool are in tools/.
Call any tool without an AI agent: examples/ has a folder for each of the first fifteen tools with a ready-to-run input.json, Python (apify-client), JavaScript (Node 18+) and curl scripts, plus the MCP setup for Claude Code, Cursor and Claude Desktop. Put your Apify token in the APIFY_TOKEN environment variable — the files never contain a token.
export APIFY_TOKEN="<your token>"
python examples/korean-review-classifier/example.py
| Tool | What it does | Price | Code |
|---|---|---|---|
leoworks--google-maps-review-classifier | Classify Google Maps reviews from any Google Maps reviews scraper's dataset: complaint types, what customers praise, serious issues (safety, discrimination, fraud), sentiment and unanswered reviews — plus a reply queue and per-place CSV. No LLM key. | $0.50 / 1,000 reviews (+ compass' Google Maps scraper, billed separately, when the tool collects the reviews — see the cost note) | examples |
leoworks--google-maps-review-health-check | Free review health check for one Google Maps business: average stars, owner reply rate, 1–3 star reviews with no owner reply, and the last 90 days versus before. It only counts — no AI, no login. | Free (+ compass' Google Maps scraper, billed separately: about $0.02 for 30 reviews) | — |
leoworks--google-maps-lead-qualifier | Score Google Maps places from any Google Maps scraper against your ideal customer in plain language: lead score, tier A–D, a reason per lead, chain check, emails and socials kept, LEADS.csv. Free filters. No LLM key. | $2 / 1,000 places (+ compass' Google Maps scraper, billed separately, when the tool collects the places — see the cost note) | examples |
| Tool | What it does | Price | Code |
|---|---|---|---|
leoworks--korean-review-classifier | Classify Korean customer reviews — Coupang reviews (쿠팡 리뷰), Olive Young reviews, Naver Shopping and Naver Place reviews — into complaint types, sentiment and purchase motive with probabilities. Korean review sentiment analysis for any review scraper's dataset — no scraping, no prompt writing. | $0.50 / 1,000 reviews | examples |
leoworks--amazon-review-classifier | Classify Amazon reviews from any Amazon reviews scraper: complaint and return reasons, what buyers praise, sentiment, star-vs-text mismatch and worst variants — plus an action queue and per-product CSV. No LLM key. | $0.50 / 1,000 reviews | examples |
leoworks--japanese-review-classifier | Classify Japanese customer reviews — Rakuten (楽天レビュー), Amazon.co.jp and any review scraper's dataset — into complaint types, sentiment and purchase motive with probabilities. Japanese review sentiment analysis (レビュー分析), no prompts, no LLM key. | $0.50 / 1,000 reviews | examples |
leoworks--spanish-review-classifier | Classify Spanish customer reviews — MercadoLibre (reseñas y opiniones), AliExpress and any review scraper's dataset — into complaint types, sentiment and purchase motive with probabilities. Spanish review sentiment analysis (análisis de reseñas), no prompts, no LLM key. Beta. | $0.50 / 1,000 reviews (beta) | examples |
leoworks--social-comment-classifier | Classify Instagram, TikTok, Facebook and YouTube comments from any comment scraper's dataset: purchase intent, questions, complaints, requests, praise, spam and sentiment, with probabilities. Comment sentiment analysis, no prompts, no LLM key. | $0.50 / 1,000 comments | examples |
| Tool | What it does | Price | Code |
|---|---|---|---|
leoworks--naver-shopping-rank-tracker | Track where your products, URLs or Smartstore stores rank in Naver Shopping search for any Korean keyword (네이버 쇼핑 순위, 스마트스토어 순위). Organic rank 1–35 plus ad slot position, price, reviews and rating — a Naver Shopping scraper built for scheduled rank monitoring. | $3 / 1,000 keyword checks (+$0.50 / 1,000 competitor rows) | examples |
leoworks--naver-blog-brand-monitor | Monitor a brand or product on Naver Blog (네이버 블로그), Korea's biggest review platform. This Naver Blog scraper collects posts by keyword and labels each one sponsored (체험단/협찬) or self-paid with evidence, plus sentiment and brand mentions — Korean social listening in one run. | $4 / 1,000 posts + $1 / 1,000 judgments | examples |
leoworks--naver-ai-briefing-monitor | Track your brand in Naver's AI briefing (네이버 AI 브리핑), the generative answer atop Korea's #1 search engine — Google AI Overviews for Korea. Capture the answer, cited sources, AI ads and related questions, and see if your brand or rivals are mentioned and recommended (GEO). | $3 / 1,000 queries + $12 / 1,000 briefings captured | examples |
leoworks--naver-place-review-classifier | Analyze Naver Place reviews (네이버 플레이스 리뷰) of restaurants and cafés: 9 complaint types, sentiment, serious issues and reviews that still have no owner reply, as a reply queue — plus optional sponsored-or-not labels for blog posts about the place. No prompts, no LLM key. | $0.50 / 1,000 reviews judged (+ a separate Naver Place scraper, billed separately, about $1 / 1,000 reviews, when the tool collects the reviews) | — |
leoworks--kbeauty-ranking-review-monitor | Track K-beauty bestseller rankings on Olive Young Global (OliveYoung, 올리브영) and Amorepacific's Amore Mall (아모레몰: Sulwhasoo, Laneige, Hera…) and collect Korean cosmetics reviews with optional AI classification — complaint types, sentiment and purchase motive in Korean, English and Japanese. | $2 / 1,000 ranking rows · $1 / 1,000 reviews · $0.50 / 1,000 classifications | examples |
| Tool | What it does | Price | Code |
|---|---|---|---|
leoworks--aliexpress-reviews-classifier | Scrape AliExpress product reviews — text, English translation, star rating, date, buyer country, option (SKU) and photos — from any product URL. Optional AI classification adds complaint types, sentiment and purchase motive, plus a per-product summary. No login. | $1.50 / 1,000 reviews + $0.50 / 1,000 classifications | examples |
只显示了开头部分;其余内容请在仓库中阅读