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

Vulnerability Exposure

作者:MRFrazer25版本 1.2.0i★ –i在你的电脑上运行
注册名称io.github.MRFrazer25/vulnerability-exposure-mcp

安装

概览

作者提供的说明(英文原文)

Confirmed vulnerabilities and exposure for IPs, domains and software versions (NVD, CISA KEV, EPSS)

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: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 网络安全
  • 你需要填写:SHODAN_API_KEY, VIRUSTOTAL_API_KEY, ABUSEIPDB_API_KEY, NVD_API_KEY, GREYNOISE_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: SHODAN_API_KEY, VIRUSTOTAL_API_KEY, ABUSEIPDB_API_KEY, NVD_API_KEY, GREYNOISE_API_KEY

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

  • 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 …”。

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

{
  "mcpServers": {
    "vulnerability-exposure": {
      "command": "uvx",
      "args": [
        "vulnerability-exposure-mcp"
      ],
      "env": {
        "SHODAN_API_KEY": "your-value",
        "VIRUSTOTAL_API_KEY": "your-value",
        "ABUSEIPDB_API_KEY": "your-value",
        "NVD_API_KEY": "your-value",
        "GREYNOISE_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add vulnerability-exposure --env SHODAN_API_KEY=your-value --env VIRUSTOTAL_API_KEY=your-value --env ABUSEIPDB_API_KEY=your-value --env NVD_API_KEY=your-value --env GREYNOISE_API_KEY=your-value -- uvx vulnerability-exposure-mcp

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": {
    "vulnerability-exposure": {
      "command": "uvx",
      "args": [
        "vulnerability-exposure-mcp"
      ],
      "env": {
        "SHODAN_API_KEY": "your-value",
        "VIRUSTOTAL_API_KEY": "your-value",
        "ABUSEIPDB_API_KEY": "your-value",
        "NVD_API_KEY": "your-value",
        "GREYNOISE_API_KEY": "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": {
    "vulnerability-exposure": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "vulnerability-exposure-mcp"
      ],
      "env": {
        "SHODAN_API_KEY": "your-value",
        "VIRUSTOTAL_API_KEY": "your-value",
        "ABUSEIPDB_API_KEY": "your-value",
        "NVD_API_KEY": "your-value",
        "GREYNOISE_API_KEY": "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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

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

  • SHODAN_API_KEY 机密 env
    Shodan key for service banners (optional: without it the free InternetDB is used)
  • VIRUSTOTAL_API_KEY 机密 env
    VirusTotal key for IP and domain reputation (optional)
  • ABUSEIPDB_API_KEY 机密 env
    AbuseIPDB key for IP abuse reports (optional)
  • NVD_API_KEY 机密 env
    NVD key for a higher rate limit, so version checks run faster (optional)
  • GREYNOISE_API_KEY 机密 env
    GreyNoise key for more scanner lookups (optional; work-email accounts only)

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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 MRFrazer25 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“网络安全”中的其他服务器比较i

  • 星标数多于此分类中其他 997 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 997 个服务器的 85% 更新
  • 基础检查结果等于或优于此分类中其他 997 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

Vulnerability Exposure 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?

你需要填写:SHODAN_API_KEY, VIRUSTOTAL_API_KEY, ABUSEIPDB_API_KEY, NVD_API_KEY, GREYNOISE_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.2.0)于7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。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:LucidShark, Threatist, Draugr

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

LucidShark

作者:toniantunovi

Local code quality and security scanner: lint, types, SAST, SCA, tests, coverage.

在你的电脑上运行今天更新
安装

Threatist

作者:threatist.io

Vulnerability records: CVE, GHSA, CISA KEV, EPSS and vendor fixes in one place. No key needed.

在云端运行今天更新
安装

Draugr

作者:draugr-dev

Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk.

在你的电脑上运行今天更新
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。

Vulnerability Exposure MCP

An MCP server that checks public IPs, domains, CVEs and software versions for confirmed vulnerabilities and exposure. A CVE only counts as affecting a version when NVD's version ranges confirm it; everything else is listed for review, so related or vendor-wide CVEs are never reported as yours.

It's the MCP version of Vulnerability Exposure Analyzer. The app needs a Cohere key to run its own agent; this one doesn't need any LLM key, because the model in your MCP client calls the tools and writes the report.

It runs locally over stdio, so it works with clients that launch local MCP servers: Claude Desktop, Claude Code, Codex, Cursor, Antigravity, Windsurf, VS Code, LM Studio and similar. Web-only clients such as ChatGPT on the web and claude.ai connectors only accept remote (HTTPS) servers; this server is not hosted, because a public deployment would need its own authentication to keep your API keys from being used by anyone.

Give it a public IP, a domain, a CVE ID (CVE-2026-111497), a product and version (PHP 8.3.10, OpenSSH 8.9p1 Ubuntu-3ubuntu0.6), or your project's lockfile or SBOM, and it pulls evidence from NVD, CISA KEV, FIRST EPSS, Exploit-DB, OSV.dev, Shodan, VirusTotal, AbuseIPDB, Spamhaus, GreyNoise, SANS ISC, the internet registries and certificate transparency logs.

Install

Requires Python 3.11+. Setup is three steps: install, optionally store your keys, connect your AI client.

The simplest way is uv, which runs the server straight from PyPI with nothing to set up:

uvx vulnerability-exposure-mcp keys status

Or install it with pip (pip install vulnerability-exposure-mcp) and use the vulnerability-exposure-mcp command the same way. To run from source instead, see From source below.

Free keys: Shodan, VirusTotal, AbuseIPDB, NVD (optional, raises the rate limit), GreyNoise (optional; GreyNoise only gives keys to accounts made with a work email, not Gmail or similar. Without one it allows a limited number of lookups, and SANS ISC covers the rest). CVE and software checks work with no keys at all. IP and domain checks also run without keys, using Shodan's free InternetDB, the internet registries, Spamhaus DROP and GreyNoise; the report then lists VirusTotal and AbuseIPDB as not checked.

Then ask: *"Run a security assessment of PHP 8.3.10"* or use the security_assessment prompt. Examples has more to try.

Store your keys securely

Keys can live in your operating system's credential store (Windows Credential Manager, macOS Keychain, or the Secret Service on Linux) instead of a config file. Run this in your own terminal; the key is typed into a hidden prompt and goes straight to the store:

uvx vulnerability-exposure-mcp keys set shodan

Do the same for virustotal, abuseipdb, nvd and greynoise as needed. keys status shows which are stored (never their values) and keys delete NAME removes one. With keys stored this way, leave the env block below empty. An environment variable, if set, takes precedence over a stored key.

Servers, Docker containers and other headless Linux systems usually have no credential store. There keys set says so, and keys go in the env block instead.

Connect a client

Pass keys through the client's env block, not the command line.

Claude Desktop

Download vulnerability-exposure-mcp- .mcpb from the latest release and open it: Claude Desktop installs it and asks for your (optional) keys in a form. Or add the JSON config below. From 1.1.0 each bundle has a signed build provenance attestation, so you can check it was built by this repository's release workflow: gh attestation verify vulnerability-exposure-mcp- .mcpb --repo MRFrazer25/Vulnerability-Exposure-MCP.

Claude Code

Store your keys first (see above), so none go on the command line, then run:

claude mcp add vulnerability-exposure -- uvx vulnerability-exposure-mcp

Start a new Claude Code session afterwards: MCP servers load when a session starts.

Or install it as a plugin, which asks for each (optional) key in a masked prompt and keeps it in your credential store:

/plugin marketplace add MRFrazer25/Vulnerability-Exposure-MCP

/plugin install vulnerability-exposure@vulnerability-exposure

Codex (CLI, IDE extension and ChatGPT desktop app)

Store your keys first (see above), so none go on the command line, then run:

codex mcp add vulnerability-exposure -- uvx vulnerability-exposure-mcp

Or add it to ~/.codex/config.toml, which all three share:

[mcp_servers.vulnerability-exposure]

command = "uvx" args = ["vulnerability-exposure-mcp"]

Antigravity CLI

Store your keys first (see above), then install the plugin straight from this repo:

agy plugin install https://github.com/MRFrazer25/Vulnerability-Exposure-MCP/tree/main/plugin

Cursor, Windsurf, VS Code, Claude Desktop and other JSON-configured clients

Add this to the client's MCP config (in Claude Desktop: Settings → Developer → Edit Config), then restart the client. With keys stored in the credential store, leave the env values empty or remove the block.

{

"mcpServers": { "vulnerability-exposure": { "command": "uvx", "args": ["vulnerability-exposure-mcp"], "env": { "SHODAN_API_KEY": "", "VIRUSTOTAL_API_KEY": "", "ABUSEIPDB_API_KEY": "", "NVD_API_KEY": "", "GREYNOISE_API_KEY": "" } } } }

(VS Code uses "servers" instead of "mcpServers" in .vscode/mcp.json.)

Docker

Build the image once with docker build -t vulnerability-exposure-mcp ., then point the client at it. Containers have no credential store, so keys go in env; listing them as bare -e names passes their values through without putting them on the command line:

{

"mcpServers": { "vulnerability-exposure": { "command": "docker", "args": ["run", "-i", "--rm", "-e", "SHODAN_API_KEY", "-e", "VIRUSTOTAL_API_KEY", "-e", "ABUSEIPDB_API_KEY", "-e", "NVD_API_KEY", "-e", "GREYNOISE_API_KEY", "vulnerability-exposure-mcp"], "env": { "SHODAN_API_KEY": "", "VIRUSTOTAL_API_KEY": "", "ABUSEIPDB_API_KEY": "", "NVD_API_KEY": "", "GREYNOISE_API_KEY": "" } } } }

From source
git clone https://github.com/MRFrazer25/Vulnerability-Exposure-MCP.git

cd Vulnerability-Exposure-MCP python -m venv .venv .venv/Scripts/python -m pip install -e . # macOS/Linux: .venv/bin/python

Then use .venv/Scripts/python -m vulnerability_exposure_mcp (on macOS or Linux, .venv/bin/python) wherever the steps above say uvx vulnerability-exposure-mcp, with the full path to that Python in client configs, for example "command": "C:/path/to/Vulnerability-Exposure-MCP/.venv/Scripts/python.exe", "args": ["-m", "vulnerability_exposure_mcp"].

It keeps everything that makes the original app's reports reliable:

  • The same analyst rules as the app's system prompt. The server's instructions are a short summary, since clients cut long ones short; investigate_target returns the full rules and report format as analyst_guide.
  • Baseline lookups run in code, so reputation and exposure checks never depend on the model remembering them.
  • Analysis depth (Quick Scan, Standard, Comprehensive, Expert) sets the tool-call budget, per-service caps and how much detail each result keeps. The model can't override these limits.
  • Key facts computed from the data, not the model, including the CISA KEV split into *confirmed for this target* and *related*, so the numbers are the same whichever model runs it.
  • Fresher and more accurate than NVD alone: Ubuntu and Debian packages are checked against the distro's own fix data, so backported fixes count; recent CVEs NVD hasn't analysed are listed for review; and for packages such as Next.js, React and Django, GitHub advisories fill gaps before NVD has them. Each CVE carries its patch status and whether exploit code is published.
  • One investigation per `investigation_id`: a random handle returned by investigate_target, so several chats sharing one server process never mix evidence.
How this differs

Most CVE servers search NVD by keyword or product and hand back every match, so a report on nginx 1.30.0 can list CVEs that were fixed years earlier. This one:

  • Checks the exact version. A CVE is *confirmed* only when NVD's version ranges include that version, and for an Ubuntu or Debian package, CVEs the distro fixed by backport are ruled out. Keyword and product-level matches are listed separately as *related*.
  • Sets aside what isn't the product's. Plugin CVEs (Jenkins plugins), other products that share the name (Nginx Proxy Manager, Grafana Alloy) and CVEs NVD confirms only on another OS (PHP on Windows, for a Linux build) are listed separately instead of being counted against it.
  • Combines the context a fix decision needs. One call returns CISA KEV status and ransomware use, EPSS and whether it's rising, the minimum safe version (and how far your current major version gets), end-of-life status, published exploits and patch status, instead of the model stitching together separate lookups.
  • Checks the report, not just the data. check_report flags a draft that cites a CVE, version or host name no tool returned, calls a related CVE confirmed, swaps an affected and an unaffected version, or gets a fix version, count, KEV, port, reputati

只显示了开头部分;其余内容请在仓库中阅读

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