App Pain API

io.github.apppainapi由 GitHub 账号 apppainapi 发布v0.3.1更新于 Nov 1, 2026

What users hate about ANY iOS/Android app: clustered complaints, evidence, trends. No key needed.

已验证Streamable HTTP可网页运行网页搜索与抓取数据与分析商业与电商

概览

AI 生成的概览

远程 MCP 服务器，把任意 iOS/Android 应用的公开评论挖掘成排序后的痛点、趋势和版本评分。

可以做什么
  • 在 App Store 与 Google Play 中搜索应用并获取其 id
  • 把近期差评聚类成带严重程度和原文引用的痛点排行
  • 对比历史分析，查看哪些抱怨是新增、上升、下降或已解决
  • 读取应用元数据、评分分布和各版本的评论统计
  • 分页获取原始评论以便深入查看
  • 管理竞品监控列表，把新的 1-2 星评论和上升中的痛点推送到 webhook
适用场景
适合竞品调研、产品机会发现和应用拆解：想了解某款应用用户最不满什么，或抱怨随版本如何变化，而不必人工逐条读评论时使用。
运行要求
只需远程 streamable HTTP 端点，无需本地运行时或安装包。无凭据时可用免密钥的每日额度；可选的 x-api-key 请求头（注册后获得）提供个人配额。需要能访问托管服务器，中国大陆用户可能需要代理。
安装前请注意
可选的 x-api-key 请求头属于密钥，不应写入共享配置。竞品监控和更大配额需要付费套餐（Starter、Pro），watch_competitors 会把评论摘要发送到你配置的 Slack、Discord 或任意 https webhook。冷分析需 30-120 秒；所有工具据称均为只读。

安装

在 SourceWeft 中

  1. 打开 控制台中的 App Pain API，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.apppainapi%2Fapp-pain-api/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "app-pain-api": {
      "type": "http",
      "url": "https://hawkmill.com/mcp"
    }
  }
}

README

[App Pain API logo]

App Pain API

What users hate about any iOS/Android app — clustered complaints, evidence quotes, trends. One MCP server, no API key.

[MCP] [Streamable HTTP] [No key required] [SealKeeper Service SEAL]

Live server · Docs · OpenAPI 3.1 · Pain index (101 apps) · Pricing

Review intelligence for any app on the App Store or Google Play — not just your own. Feed it an app id, a store link, or a bare package name; get back ranked pain-point clusters mined from real 1–2★ reviews, each with its share of complaints, a severity score, and verbatim evidence.

Built for competitive research and agent workflows: one tool call replaces a week of reading reviews by hand.

json
{  "painPoints": [    { "rank": 1, "title": "Intrusive ads & ad frequency", "sharePercent": 16, "severity": 4 },    { "rank": 2, "title": "Shadowbanning & algorithm suppression", "sharePercent": 12, "severity": 4 }  ],  "overview": "Monetization pressure (ads) and opaque algorithm changes dominate complaints."}

↑ real output — TikTok, US App Store. Cached analyses return instantly; ~100 popular apps are pre-analyzed and always free to read.

The tools

ToolWhat it does
search_apps ★Find apps on both stores (merged results, rich fields) — the step 1 of every teardown
mine_app_pain_points ★The core tool: fetch recent reviews, keep the negative ones, cluster them into ranked pain points with evidence quotes
get_pain_trendCompare two snapshots: what got worse, what got fixed (new / resolved / rising / falling)
get_version_historyRating per release — catch the version that broke things
get_app_reviewsRaw reviews, unified schema across stores (dev replies, thumbsUp)
get_app_detailsMetadata: rating histogram, category, price, IAP
watch_competitorsPaid: push new 1–2★ reviews and rising pain points to Slack/Discord/webhooks

Also ships two prompts (competitor_pain_report, app_pain_deep_dive) so an agent can run a full teardown from one sentence.

Install

Server URL — paste it into any MCP client, no key needed:

https://app-pain-api.quiet-delta.workers.dev/mcp
ClientHow
Claude Codeclaude mcp add --transport http app-pain-api https://app-pain-api.quiet-delta.workers.dev/mcp
Claude Desktop / claude.aiSettings → Connectors → Add custom connector → paste the URL
ChatGPTSettings → Apps & Connectors → Developer mode → Create → paste the URL, auth: No authentication
Cursor~/.cursor/mcp.json → {"mcpServers":{"app-pain-api":{"url":"https://app-pain-api.quiet-delta.workers.dev/mcp"}}}
VS Codecode --add-mcp '{"name":"app-pain-api","type":"http","url":"https://app-pain-api.quiet-delta.workers.dev/mcp"}'
Windsurf~/.codeium/windsurf/mcp_config.json → {"mcpServers":{"app-pain-api":{"serverUrl":"…/mcp"}}}
Codex CLI~/.codex/config.toml → [mcp_servers.app-pain-api] url = "…/mcp"
Gemini CLI~/.gemini/settings.json → {"mcpServers":{"app-pain-api":{"httpUrl":"…/mcp"}}}
stdio-only clientsnpx -y mcp-remote https://app-pain-api.quiet-delta.workers.dev/mcp

Keyless limits: unlimited cached results plus a few new analyses per day. Want your own quota (10/month free, more on paid tiers)? Register at POST /v1/register and add an x-api-key header. When the server-side allowance runs out, mine_app_pain_points degrades gracefully — it hands your agent the prepared negative reviews to cluster with its own model.

Mainland China: *.workers.dev needs a system proxy or TUN mode to connect.

Try asking your agent

  • "What do users hate most about Duolingo, and is it getting better?"
  • "Compare the top 4 habit-tracker apps' pain points and find a product gap."
  • "Watch my 3 biggest competitors and alert our Slack when their users start complaining about something new."

Also a plain REST API

Everything the MCP server does is available over REST with JSON responses and a full OpenAPI 3.1 spec — same cache, same quota, one GET:

bash
curl -s "https://app-pain-api.quiet-delta.workers.dev/v1/apps/ios/835599320/painpoints"

Pricing

Free tier forever (no credit card) · Starter $9/mo (any country, 500-review depth, watch 2 competitors) · Pro $29/mo (daily alerts for 15 competitors, unlimited analyses) — details on the site.

Notes

  • Data comes from public app-store pages, normalized into one schema. Not affiliated with Apple or Google.
  • All tools are read-only (readOnlyHint annotations set).
  • Speaks the classic initialize handshake (2024-11-05 → 2025-11-25) and answers the mandatory server/discover RPC from the 2026-07-28 spec — modern clients probe, see the supported version list, and fall back to the handshake automatically.
  • Cold analyses take 30–120s and stream progress notifications; repeat calls hit a 7-day cache and return in milliseconds.
  • Privacy · Terms · Acceptable use
  • Contact: [email protected]

来源：README.md，提交 e83da69

工具

7

search_apps

Search apps

Search the iOS App Store and Google Play (both merged by default) to find apps and their ids. Use this FIRST when you only know an app name or a category.

输入参数q必填limitstorecountry

mine_app_pain_points

Mine app pain points

THE core tool: fetch recent reviews of any iOS/Android app, keep the negative ones, and cluster them into ranked pain points (title, sharePercent, severity 1-5, verbatim evidence quotes). Ideal for competitive research and product discovery. Cached 7 days (instant on repeat); a COLD server-side analysis takes 30-120s. If the result has "mode":"agent", it contains prepared negative reviews and "instructions" — do the clustering yourself and present it to the user.

输入参数appId必填modelstoreanalyzecountryreviewsmaxRating

get_pain_trend

Pain-point trend

How an app's pain points changed over time: compares two archived analyses and labels each theme new / resolved / rising / falling / stable with share deltas (percentage points). Instant (archive read, no LLM). Default: latest vs ~30 days earlier. Returns a note when the app has fewer than two snapshots yet.

输入参数tofromappId必填store

get_app_details

App details

App metadata: name, developer, category, price, average rating, rating count and 1-5★ histogram (when available).

输入参数appId必填storecountry

get_version_history

Version history

Per-version review stats (review count, average rating, first/last seen) — spot a rating crash right after a bad release. Android: aggregated from recent reviews. iOS: current version + release notes.

输入参数appId必填storecountry

watch_competitors

Watch competitors (alerts)

Continuous competitor monitoring (paid plans: Starter 2 apps weekly, Pro 15 apps daily). Manage the watchlist and the alert destination; digests of NEW 1-2★ reviews and NEW/RISING pain points are pushed to a Slack / Discord / any https webhook. action: list | add | remove | set_webhook | test.

输入参数appIdstoreaction必填webhookUrl

get_app_reviews

Raw reviews

Fetch raw app reviews (unified schema across stores: rating/title/body/version/date/devReply/thumbsUp), 50 per page. Use for drill-down after mine_app_pain_points.

输入参数pagesortappId必填storecountry

版本历史

3
  1. v0.3.1最新Nov 1, 2026
  2. v0.3.0Oct 25, 2026
  3. v0.2.0Oct 23, 2026

评分

已满足适用检查项的 90%

该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分

    请在仓库或注册中心条目中声明许可证。