原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Social Media Finder - Social Analyzer | Username 900+ Sites

作者:AnshumanAtrey版本 1.0.14i★ –i在云端运行
注册名称io.github.AnshumanAtrey/social-analyzer

安装

概览

作者提供的说明(英文原文)

Social Analyzer - Find Social Media by Username | Sherlock

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 营销与社交媒体
  • 你需要填写:Authorization

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

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 social-analyzer 'https://mcp.apify.com/?tools=anshumanatrey/social-analyzer' --header 'Authorization: your-value'

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "social-analyzer": {
      "url": "https://mcp.apify.com/?tools=anshumanatrey/social-analyzer",
      "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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "social-analyzer": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=anshumanatrey/social-analyzer",
      "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。

需要你填写的值

  • Authorization 机密 必填 HTTP header
    Apify API token, as 'Bearer '. Runs bill to this account.

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。

它能做什么

服务器要求先登录,才会列出它的工具。

基础检查i

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8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 AnshumanAtrey 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 79 毫秒内响应(HTTP 401)

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录,你的 AI 应用可以带你去登录

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“营销与社交媒体”中的其他服务器比较i

  • 星标数多于此分类中其他 3575 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 3575 个服务器的 79% 更新
  • 基础检查结果等于或优于此分类中其他 3575 个服务器的 100%

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。

常见问题

Social Media Finder - Social Analyzer | Username 900+ Sites 安全吗?

它在 3 项适用的基础检查中通过了 3 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。

它需要哪些密钥或代码?

你需要填写:Authorization

它在我的电脑上运行还是在云端?

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。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.14)于9天前进入注册中心。

哪些应用可以使用它?

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。

有什么可以替代它?

同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

替代选择

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 YouTube Transcript

作者:jkawamoto

An MCP server retrieving transcripts of YouTube videos

在你的电脑上运行★ 495MIT10天前更新
安装

Google Analytics MCP

作者:surendranb

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

在你的电脑上运行★ 244MIT10天前更新
安装

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

在云端运行★ 137MIT11天前更新
安装

作者的 README

打开 README

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。

Social Analyzer - Find Social Profiles by Username

Type a username and get every public profile that uses it. Every run checks all 999 sites the scanner knows: social networks, gaming, dating, developer, forums, wikis and niche platforms. Every hit is ranked high, medium or low confidence with the page's title, language and meta tags, so real profiles come first and guesses stay marked. No login, no cookies, no API key.

Available as an Apify Actor. $0.005 per profile found. One username on all 999 sites takes about 3 minutes; on the 100 most popular sites about 30 seconds.


What does it do?

You give it one username, or a list, and nothing else is needed: with only the username set, the scan is the widest possible, all 999 sites, worldwide, every category, every match kept and labelled by confidence, page details and patterns extracted, one hour to do it. It checks those sites for a profile with exactly that handle and returns one row per profile it finds: the platform, the profile URL, how confident the match is, the site's category and country, the page title, its language and its meta tags. A summary row and an OUTPUT record say in plain words what was checked, how many sites had no profile, how many did not answer, and what came back.

You can paste @elonmusk or a full profile link like twitter.com/elonmusk; the handle is taken out of it. If you paste an email address, the part before the @ is searched and the run points you to the email tool for the address itself. A full name like John Smith is searched as johnsmith, and the summary names john.smith and john_smith to try next.

How is it different from Sherlock?

Sherlock CLIThis actor
Setuppip install, Python, terminalOpen the page, type a handle, press Start
InputOne exact handleHandles, @handles, profile links, lists of up to 25
Sites coveredAbout 300999, checked in parallel
ConfidenceFound or not foundHigh, medium, low, with the match rate
FilteringNoneCategory, country, named sites
OutputTerminal textOne row per profile with category and country, CSV or JSON

The scanner underneath is qeeqbox/social-analyzer (3,000+ GitHub stars). This actor runs it at full depth on every run: all sites, all output fields, 60 parallel workers instead of its hardcoded 15, and its most permissive detection level. It also chooses the sites itself from the scanner's own list and fixes what the command line gets wrong in the current version: several usernames at once, category and country filters, a confidence filter that silently did nothing, and the slow and special modes that have no code behind them.

When should I use it?

  • Recruiting and hiring: check a candidate's public presence from one handle
  • People search: find every account a person uses under a username
  • Fraud and trust teams: find a scammer's or seller's other profiles
  • Dating safety and self-checks: see what a handle exposes, including on dating and adult sites
  • Investigations and due diligence: build a cross-platform footprint for a case

What does it cost?

EventFree and Starter plansScale planBusiness plan and aboveWhen it is charged
Profile found$0.005$0.0045$0.004Per profile row, charged as each step of the scan delivers its rows. The summary row is free.

Apify Store discounts: on the Scale plan you pay 10% less, on Business and above 20% less.

Typical runs (Free and Starter price):

JobCost
One username, all 999 sites, everything kept: 108 confident plus possible and weak rows, about 150 rows (the prefill)$0.75
One username, 100 most popular sites, 17 profiles found$0.09
Two usernames on the 48 adult and dating sites, 16 profiles (a real run)$0.09
25 usernames, 100 sites each, about 30 profiles each$3.76

A run that finds nothing costs nothing. A form with no usable username stops before anything is charged. If your spending limit cannot pay for one profile, nothing is searched or charged and the status message gives the limit and the price. If a run is cut off by the time limit or your spending limit, you keep and pay for only the rows delivered before the cut.

Which inputs does it take?

FieldRequiredWhat it does
usernameone of the twoThe handle. Paste @handle or a profile link; separate several with commas.
usernamesone of the twoA list of handles, one per line, up to 25 per run.
topnoHow many of the most popular sites to check. Default and maximum 999 (all of them); lower it for a quicker run.
websitesnoOnly these sites, by domain or partial name: github.com, reddit. Any of the 999 sites.
siteTypenoEvery category by default. One category: social, adult_dating, gaming, developer_tech, forums, wikis_reference, entertainment, photo_design, news_blogs, shopping, jobs_business, education, other.
countriesnoWorldwide by default. Only sites based in these countries, by name (United States, India, Russia, Japan and 19 more).
filternoall (everything, marked by confidence, default), good,maybe (50% and up), good (100% matches only).
metadatanoAdd each confident profile's meta tags and detected page language. Default on.
extractnoPull emails, links and patterns from found pages. Default on.
timeoutnoTime limit in seconds for the whole run. Default and maximum 3600.

Filters combine. With a category or country filter, top picks the most popular sites inside that filter. With websites, top is ignored.

Nothing is held back. The scanner offers three modes; only fast has code behind it in the current version, and its internal "extreme" level is a stricter gate that returns fewer hits, not a deeper scan. So every run already uses the deepest configuration that exists: all sites, all fields, the permissive level. The only feature not exposed is profile screenshots, which needs a Chrome browser the image does not carry.

How do I follow a run?

The status line at the top of the run updates after every step: 48% done: 500 of 998 site checks, 143 profiles so far. 1 of 3 usernames finished, now checking kaytats. Rows appear in the dataset as each step (about 125 sites) finishes, so you can start reading results after about 30 seconds. The OUTPUT record carries status, percentDone and per-username progress while the run is going, and turns into the final summary when it ends.

What does the output look like?

Real rows from a local run on 2026-09-12 with input {"username": "frostkatrina@ymail.com", "top": 50}. The address was recognised as an email, the handle frostkatrina was searched, 17 profiles came back in 37 seconds.

UsernamePlatformProfile URLConfidenceMatch %CategorySite countryAdult site
frostkatrinaFacebookfacebook.com/frostkatrinahigh100socialUnited Statesno
frostkatrinaPinterestpinterest.com/frostkatrinahigh100socialUnited Statesno
frostkatrinaFandomfandom.com/u/frostkatrinamedium66.7entertainmentUnited Statesno
frostkatrinaInstagraminstagram.com/frostkatrinamedium66.7socialUnited Statesno

One profile row as JSON:

{

"recordType": "profile", "username": "torvalds", "platform": "GitHub", "site": "github.com", "link": "https://github.com/torvalds", "confidence": "high", "matchRate": 100.0, "category": "developer_tech", "categoryDetail": "Computers Electronics and Technology > Programming and Developer Software", "country": "United States", "adultSite": false, "siteRank": 89, "pageTitle": "torvalds (Linus Torvalds)", "language": "English", "metadata": [{"property": "og:title", "content": "torvalds - Overview"}, {"property": "og:type", "content": "profile"}], "checkedAt": "2026-09-12T14:20:11+00:00" }

The summary row (also saved as the OUTPUT record) from the same email run:

{

"recordType": "summary", "usernames": ["frostkatrina"], "usernamesChecked": 1, "sitesPerUsername": 50, "filters": {}, "profilesFound": 17, "highConfidence": 2, "mediumConfidence": 11, "lowConfidence": 4, "sitesNotFound": 29, "sitesFailed": 4, "durationSeconds": 36.5, "notes": ["\"frostkatrina@ymail.com\" is an email address. Searched the part before the @ (\"frostkatrina\") as a username. To find accounts registered with the email itself, use https://apify.com/anshumanatrey/holehe-email-osint"], "message": "Found 17 profiles for frostkatrina across 50 sites: 2 high, 11 medium, 4 low confidence. Strongest first. ..." }

Confidence. High means a 100% match: the site answered exactly the way it does for a real profile. Medium (50 to 99%) is likely but worth a look; many adult and dating sites answer at 50% for any handle. Low is a guess. Rows are sorted strongest first. The default keeps everything, so a bare username misses nothing; choose "Confident and possible" or "Confident matches only" for a cleaner list.

Common questions

Q: I typed several usernames and got one weird result. Separate them with commas or use the bulk list. Each username is checked on its own. Usernames have no spaces, so a full name such as John Smith is searched as johnsmith, and the summary names john.smith and john_smith to add if you want those forms too.

Q: I pasted an email address. The run searches the part before the @ as a username and tells you so in the summary. To find which sites an email is registered on, use holehe-email-osint.

Q: I picked a category and a country that have no site in common. Filters only narrow, so a filter that would leave nothing to check is left out and the run says so. None of the 48 adult and dating sites is based in India, for example, so all 48 are checked and the status message tells you where they are based. The same goes for a named site that is not in the list. Category counts are shown in the dropdown; most sites in the list are American or Indian.

Q: Can I run it with less memory? Yes. Each step of the scan is its own process of about 300 MB, and the run starts as many at once as its memory holds: 8 at the default 4 GB, 5 at 2 GB, 1 at 1 GB. Less memory is slower, not broken. A step that still comes back empty is retried on its own, and any sites that could not be checked are counted in the summary (sitesNotChecked) with the reason, never reported as "no profile".

Q: My run found nothing. The status message says so plainly, and the summary tells you how many sites had no profile and how many did not answer. Check the spelling, or switch to "Confident and possible matches" to see weaker matches. A handle that exists nowhere returns one summary row.

Q: Some results are wrong. Sites that answer with a normal page for any handle produce medium matches. Stay on "Confident matches only" for clean lists, and check medium rows by hand.

Q: Does it check dating and adult sites? Yes, always. The scanner's list has 48 of them and they are part of every run; the adultSite column marks those rows, and the "Adult and dating sites" category checks only them.

Q: Can I see progress, or get results before the run ends? Yes. The status line shows the percentage done and the counts, rows arrive step by step, and the OUTPUT record has percentDone for API users. You pay per step as its rows are delivered, never for work that was cut off.

Q: Where did slow and special modes go? The scanner's command line only has code for fast; slow and special return nothing in version 0.45. Every run here is already the deepest scan that exists (all 999 sites, every field). API calls th

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