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data-breach-detector

作者:beepboop2025版本 0.3.2i★ –i电脑或云端
注册名称io.github.beepboop2025/data-breach-detector

安装

概览

作者提供的说明(英文原文)

Read-only breach intel, full history 2007-today: reports THAT an org was breached, never the data.

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。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • PyPI已安装 Python 的 uv(用于 uvx 命令)

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 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://breach.seiche.info/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "data-breach-detector": {
      "command": "uvx",
      "args": [
        "data-breach-detector"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http data-breach-detector https://breach.seiche.info/mcp

或者在你的电脑上运行

claude mcp add data-breach-detector -- uvx data-breach-detector

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": {
    "data-breach-detector": {
      "url": "https://breach.seiche.info/mcp"
    }
  }
}

或者在你的电脑上运行

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": {
    "data-breach-detector": {
      "command": "uvx",
      "args": [
        "data-breach-detector"
      ]
    }
  }
}

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": {
    "data-breach-detector": {
      "type": "http",
      "url": "https://breach.seiche.info/mcp"
    }
  }
}

或者在你的电脑上运行

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": {
    "data-breach-detector": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "data-breach-detector"
      ]
    }
  }
}

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。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://breach.seiche.info/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

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

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。

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 beepboop2025 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

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18334 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18334 个服务器的 21% 更新
  • 基础检查结果等于或优于此分类中其他 18334 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

data-breach-detector 安全吗?

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。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.3.2)于3个月前进入注册中心。

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:Spec Driven Development, Remote Desktop Commander, ProAgentStore

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

ProAgentStore

作者:ProAgentStore

MCP-first control plane for ProAgentStore agents and private instances.

在云端运行今天更新
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。

data-breach-detector

A read-only breach-intelligence MCP server. It answers *"has this organization ever been breached, what's the recent breach news, what does two decades of breach history look like, how severe is this threat text"* from public disclosure feeds — and reports intelligence, not contents: the existence, timing, scale, category and exposed data-*types* of a breach, never the leaked records themselves.

Built for defenders and for agents that work on their behalf.

Why this instead of the alternatives

Most breach tooling sits in one of three camps, and each has a structural gap:

  • Consumer checkers (HaveIBeenPwned's site) answer one question — "is my email in a breach" — one account at a time, one source at a time.
  • Leak-data brokers (DeHashed, IntelX, LeakCheck and the like) sell access to the leaked records themselves. Wiring one into an AI agent hands the agent stolen credentials.
  • Enterprise intel platforms (SpyCloud, Recorded Future, Flashpoint) do the join properly — behind five-figure contracts and closed APIs.

This server takes a fourth position:

  1. Four primary sources, one queryable surface. The verified breach directory (HIBP), a *live* ransomware leak-site tracker (RansomLook), a ~16k-victim leak-site archive back to 2020 (ransomwatch), and SEC 8-K Item 1.05 filings — companies' own legally mandated "material cybersecurity incident" disclosures. Regulator-grade and criminal-infrastructure-grade evidence in the same index. No key, no contract.
  2. History is first-class. breach_history, breach_timeline and breach_stats treat 2007→today as the product, not a cache: every breach of 2013, an organization's full incident chronology, repeat-victim flagging, per-year and per-actor aggregates.
  3. The ethical boundary is in the code, not the terms of service. No fetch/crawl/proxy primitives, no .onion access, and every feed-authored string is sanitized *where the record is built*, before any field is assembled from it: emails, hashes, IPs, crypto addresses and credential-shaped tokens are redacted, and the invisible channels used to hide instructions from a human reader (Unicode Tags, zero-widths, bidi overrides, variation selectors, terminal control codes) are stripped. That matters because leak-site titles are written by ransomware crews and read by agents: the same field is both intelligence and an injection surface. Redacting only the two fields a human looks at is not enough, because ids, actor names and statistic bucket keys are built from the same strings.
  4. Honesty is instrumented. feed_sources reports each feed's newest item, a staleness flag and the last fetch error — a dead upstream is a served fact, not a silent hole. (The ransomwatch project itself froze in June 2025; this server says so instead of pretending.)
  5. MCP-native, free, MIT, self-hostable. One pip install, stdio or streamable-HTTP.

What it does not do

  • No arbitrary URL fetch, no crawl, no proxy — no general scraping primitives.
  • No .onion marketplace access, no transactions.
  • Never returns the raw text of a dump, paste or leak. Feed-authored strings are redacted and stripped of hidden-instruction characters at the point each record is constructed, so ids, actor names, entity names, dates, source URLs and aggregation keys are built from sanitized values rather than raw ones.

Sources (public, no key)

  • HaveIBeenPwned /api/v3/breaches — the verified breach directory back to 2007: domain, breach date, pwn count, exposed data *categories*.
  • RansomLook (ransomlook.io) — live ransomware leak-site tracker.
  • ransomwatch (joshhighet/ransomwatch) — frozen archive of ~16k leak-site posts, Jan 2020 → Jun 2025, retained as history.
  • SEC EDGAR — 8-K filings carrying Item 1.05 *Material Cybersecurity Incidents* (mandatory first-party disclosure since Dec 2023).

Tools

toolwhat it returns
breach_news(since_days, sector, source, limit, offset)recent disclosures — entity, date, scale, exposed data types, severity
check_exposure(query, since_days, limit, offset)does a domain/company appear anywhere in breach data — yes/no + metadata
breach_history(query, year_from, year_to, sector, data_type, min_accounts, order, limit, offset)search the full archive back to 2007
breach_timeline(entity, limit, offset)one organization's incident-by-incident chronology + repeat-victim assessment
breach_stats(group_by, sector, limit)aggregates per year / source / data type / threat level / ransomware actor
assess_threat(text)classify a piece of security text — level, categories, action (no network)
feed_sources()feeds, per-source freshness, staleness flags, last fetch errors

Every list tool reports count, limit, offset and returned, and breach_stats reports buckets_total, so a truncated answer is visible as truncated and the tail is reachable by paging rather than lost.

Run

pip install data-breach-detector

data-breach-detector # stdio (for MCP clients) data-breach-detector --http # streamable-HTTP on 127.0.0.1:8790/mcp

Or point an MCP client at the config:

{ "mcpServers": { "data_breach_detector": {

"command": "data-breach-detector" } } }

Hosted remote: https://breach.seiche.info/mcp

License

MIT. The breach data belongs to its sources (HaveIBeenPwned, RansomLook, ransomwatch, SEC EDGAR); this tool only aggregates their public disclosure metadata, with attribution.

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