Vulnicheck

Name: Vulnicheck
Author: andrasfe

作者：andrasfe版本 0.1.0i★ –i在你的电脑上运行

注册名称io.github.andrasfe/vulnicheck

安装

概览

作者提供的说明（英文原文）

HTTP MCP Server for comprehensive Python vulnerability scanning and security analysis.

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。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

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: Streamable HTTP
分类: 网络安全
你需要填写：NVD_API_KEY, GITHUB_TOKEN, OPENAI_API_KEY, ANTHROPIC_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： NVD_API_KEY, GITHUB_TOKEN, OPENAI_API_KEY, ANTHROPIC_API_KEY, MCP_PORT, CACHE_TTL, VULNICHECK_HTTP_ONLY

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

Docker已安装 Docker

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "vulnicheck": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "NVD_API_KEY",
        "-e",
        "GITHUB_TOKEN",
        "-e",
        "OPENAI_API_KEY",
        "-e",
        "ANTHROPIC_API_KEY",
        "-e",
        "MCP_PORT",
        "-e",
        "CACHE_TTL",
        "-e",
        "VULNICHECK_HTTP_ONLY",
        "docker.io/andrasfe/vulnicheck:main"
      ],
      "env": {
        "NVD_API_KEY": "your-value",
        "GITHUB_TOKEN": "your-value",
        "OPENAI_API_KEY": "your-value",
        "ANTHROPIC_API_KEY": "your-value",
        "MCP_PORT": "your-value",
        "CACHE_TTL": "your-value",
        "VULNICHECK_HTTP_ONLY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add vulnicheck --env NVD_API_KEY=your-value --env GITHUB_TOKEN=your-value --env OPENAI_API_KEY=your-value --env ANTHROPIC_API_KEY=your-value --env MCP_PORT=your-value --env CACHE_TTL=your-value --env VULNICHECK_HTTP_ONLY=your-value -- docker run -i --rm -e NVD_API_KEY -e GITHUB_TOKEN -e OPENAI_API_KEY -e ANTHROPIC_API_KEY -e MCP_PORT -e CACHE_TTL -e VULNICHECK_HTTP_ONLY docker.io/andrasfe/vulnicheck:main

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": {
    "vulnicheck": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "NVD_API_KEY",
        "-e",
        "GITHUB_TOKEN",
        "-e",
        "OPENAI_API_KEY",
        "-e",
        "ANTHROPIC_API_KEY",
        "-e",
        "MCP_PORT",
        "-e",
        "CACHE_TTL",
        "-e",
        "VULNICHECK_HTTP_ONLY",
        "docker.io/andrasfe/vulnicheck:main"
      ],
      "env": {
        "NVD_API_KEY": "your-value",
        "GITHUB_TOKEN": "your-value",
        "OPENAI_API_KEY": "your-value",
        "ANTHROPIC_API_KEY": "your-value",
        "MCP_PORT": "your-value",
        "CACHE_TTL": "your-value",
        "VULNICHECK_HTTP_ONLY": "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": {
    "vulnicheck": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "NVD_API_KEY",
        "-e",
        "GITHUB_TOKEN",
        "-e",
        "OPENAI_API_KEY",
        "-e",
        "ANTHROPIC_API_KEY",
        "-e",
        "MCP_PORT",
        "-e",
        "CACHE_TTL",
        "-e",
        "VULNICHECK_HTTP_ONLY",
        "docker.io/andrasfe/vulnicheck:main"
      ],
      "env": {
        "NVD_API_KEY": "your-value",
        "GITHUB_TOKEN": "your-value",
        "OPENAI_API_KEY": "your-value",
        "ANTHROPIC_API_KEY": "your-value",
        "MCP_PORT": "your-value",
        "CACHE_TTL": "your-value",
        "VULNICHECK_HTTP_ONLY": "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

NVD_API_KEY 机密 env
API key for NIST National Vulnerability Database (increases rate limit from 5 to 50 requests per 30 seconds)
GITHUB_TOKEN 机密 env
GitHub token for Advisory Database access (increases rate limit to 5000 requests per hour)
OPENAI_API_KEY 机密 env
OpenAI API key for LLM-based risk assessment in MCP passthrough operations
ANTHROPIC_API_KEY 机密 env
Anthropic API key for LLM-based risk assessment (alternative to OpenAI)
MCP_PORT env
Port for MCP HTTP server (default: 3000)
CACHE_TTL env
Cache time-to-live in seconds for vulnerability data (default: 900)
VULNICHECK_HTTP_ONLY env
Enable HTTP-only mode with MCP client delegation (true/false, default: auto-detect)

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7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 andrasfe 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 995 个服务器的 0%
发布到注册中心的时间比此分类中其他 995 个服务器的 0% 更新
基础检查结果等于或优于此分类中其他 995 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

Vulnicheck 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：NVD_API_KEY, GITHUB_TOKEN, OPENAI_API_KEY, ANTHROPIC_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（0.1.0）于14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。你的电脑上还需要有 Docker。

有什么可以替代它？

同一分类中有：SML Risk Firewall, Nife, ipdata MCP by usefulapi

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

SML Risk Firewall

作者：scriptmasterlabs.com

Pre-trade risk checks for agent trades: orders vs your limits, signed receipts.

在云端运行今天更新

安装

Nife

作者：nifetency

Manage Nife.io cloud apps, sites, secrets and Git integrations from MCP clients.

在云端运行今天更新

安装

ipdata MCP by usefulapi

作者：m190

Look up location, network, company and threat data for IP addresses and ASNs in ipdata.

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。

VulniCheck - AI-Powered Security Scanner

VulniCheck provides comprehensive security analysis for Python projects and GitHub repositories using AI-powered vulnerability detection. It runs as a Docker-based HTTP MCP server with standard HTTP streaming (no SSE required), providing secure containerized deployment with comprehensive vulnerability scanning capabilities.

Quick Start

1. Pull and Run the Docker Container

# Pull the latest image from Docker Hub

docker pull andrasfe/vulnicheck:latest

Run with OpenAI API key (for enhanced AI-powered risk assessment)

docker run -d --name vulnicheck-mcp -p 3000:3000 \ --restart=unless-stopped \ -e OPENAI_API_KEY=your-openai-api-key \ andrasfe/vulnicheck:latest

Or run without API key (basic vulnerability scanning)

docker run -d --name vulnicheck-mcp -p 3000:3000 \ --restart=unless-stopped \ andrasfe/vulnicheck:latest

2. Add to Claude Code

claude mcp add --transport http vulnicheck http://localhost:3000/mcp

That's it! VulniCheck is now available in Claude Code.

Usage

Once installed, simply ask Claude:

"Run a comprehensive security check on my project"

"Scan https://github.com/owner/repo for vulnerabilities"

"Check my dependencies for security issues"

"Scan my Dockerfile for vulnerable packages"

VulniCheck will:

✅ Scan dependencies for known vulnerabilities (requirements.txt, pyproject.toml, setup.py)
✅ Detect exposed secrets and credentials
✅ Analyze Dockerfiles for security issues
✅ Validate MCP configurations
✅ Generate AI-powered risk assessments
✅ Provide actionable remediation recommendations

Key Features

Docker Deployment: Secure containerized deployment with HTTP streaming (no SSE/Server-Sent Events required)
Optional Authentication: Supports Google OAuth 2.0 for secure access control (disabled by default)
Production Ready: Scalable HTTP server architecture
Comprehensive Coverage: Queries 5+ vulnerability databases (OSV.dev, NVD, GitHub Advisory, CIRCL, Safety DB)
GitHub Integration: Scan any public/private GitHub repository directly (up to 1GB)
AI-Powered Analysis: Uses OpenAI/Anthropic APIs for intelligent security assessment
Secrets Detection: Finds exposed API keys, passwords, and credentials
Docker Security: Analyzes Dockerfiles for vulnerable dependencies
Smart Caching: Avoids redundant scans with commit-level caching
Space Management: Automatic cleanup prevents disk exhaustion (2GB total limit)
Zero Config: Works out of the box, enhanced with optional API keys

Available Tools

Tool	Description
`check_package_vulnerabilities`	Check a specific Python package for vulnerabilities
`scan_dependencies`	Scan dependency files (requirements.txt, pyproject.toml, etc.)
`scan_installed_packages`	Scan currently installed Python packages
`get_cve_details`	Get detailed information about a specific CVE
`scan_for_secrets`	Detect exposed secrets and credentials in code
`scan_dockerfile`	Analyze Dockerfiles for vulnerable Python dependencies
`scan_github_repo`	Comprehensive security scan of GitHub repositories
`assess_operation_safety`	AI-powered risk assessment for operations
`validate_mcp_security`	Validate MCP server security configurations
`comprehensive_security_check`	Interactive AI-powered security assessment

Optional API Keys

Enhance VulniCheck with API keys for better rate limits and AI features:

docker run -d --name vulnicheck-mcp -p 3000:3000 \

--restart=unless-stopped \ -e OPENAI_API_KEY=your-key \ # AI-powered risk assessment -e ANTHROPIC_API_KEY=your-key \ # Alternative AI provider -e GITHUB_TOKEN=your-token \ # Higher GitHub API rate limits -e NVD_API_KEY=your-key \ # Higher NVD rate limits andrasfe/vulnicheck:latest

Authentication (Optional)

VulniCheck supports optional Google OAuth 2.0 authentication for secure access control. By default, authentication is disabled.

Enabling Google OAuth

Get Google OAuth Credentials:

Go to Google Cloud Console
Create a project and enable Google+ API
Create OAuth 2.0 credentials (Web application)
Add authorized redirect URI: http://localhost:3000/oauth/callback (or your domain)

Configure Environment Variables:

   export FASTMCP_SERVER_AUTH_GOOGLE_CLIENT_ID="your-client-id.apps.googleusercontent.com"

export FASTMCP_SERVER_AUTH_GOOGLE_CLIENT_SECRET="GOCSPX-your-secret-here" export FASTMCP_SERVER_BASE_URL="http://localhost:3000"

Run with Authentication:

   docker run -d --name vulnicheck-mcp -p 3000:3000 \

--restart=unless-stopped \ -e FASTMCP_SERVER_AUTH_GOOGLE_CLIENT_ID=your-client-id \ -e FASTMCP_SERVER_AUTH_GOOGLE_CLIENT_SECRET=your-secret \ -e FASTMCP_SERVER_BASE_URL=http://localhost:3000 \ -v vulnicheck_tokens:/home/vulnicheck/.vulnicheck/tokens \ andrasfe/vulnicheck:latest \ python -m vulnicheck.server --auth-mode google

Using docker-compose: See docker-compose.auth-example.yml for a complete configuration example.

Note: OAuth tokens are persisted in /home/vulnicheck/.vulnicheck/tokens. Use a Docker volume to persist tokens across container restarts.

⚠️ Known OAuth Limitations

FastMCP OAuth + HTTP Transport Incompatibility

Due to a limitation in FastMCP 2.12.4, OAuth authentication does not work properly with HTTP transport (streamable-http). The authorization endpoints (/oauth/authorize, /oauth/callback) are not correctly mounted, resulting in 404 errors.

When OAuth Works:

✅ Local connections (when supported in future FastMCP versions)
✅ OAuth discovery endpoint works (/.well-known/oauth-protected-resource)

When OAuth Does NOT Work:

❌ HTTP transport with external clients (ChatGPT, Claude Desktop, etc.)
❌ Authorization endpoints return 404
❌ Token exchange fails

Workaround for External Clients (ChatGPT, etc.):

Run VulniCheck without authentication when accessing through ngrok or other public URLs:

# Start without OAuth (recommended for external clients)

docker run -d --name vulnicheck-mcp -p 3000:3000 \ --restart=unless-stopped \ andrasfe/vulnicheck:latest

Then configure ngrok

ngrok http 3000

In your MCP client (ChatGPT, etc.):

URL: https://your-ngrok-url.ngrok-free.dev/mcp
Authentication: None

Security Considerations:

✅ Traffic is encrypted via HTTPS (ngrok)
⚠️ No authentication - anyone with URL can access
💡 ngrok free URLs change on restart (security through obscurity)
🔒 For production, use ngrok paid tier with password protection or IP whitelisting

Future Resolution: This limitation will be resolved when:

FastMCP fixes OAuth + HTTP transport support, OR
Alternative authentication mechanisms are implemented

Using with ngrok

Quick Start (No OAuth):

# 1. Start VulniCheck

docker run -d --name vulnicheck-mcp -p 3000:3000 \ --restart=unless-stopped \ andrasfe/vulnicheck:latest

2. Start ngrok

ngrok http 3000

3. Use the ngrok URL in your MCP client

URL: https://your-generated-url.ngrok-free.dev/mcp

Authentication: None

Optional OAuth Script (Experimental - OAuth Not Functional):

A convenience script restart-vulnicheck-ngrok.sh is provided for testing OAuth, but OAuth does not currently work due to FastMCP limitations:

# Copy the example environment file

cp .env.example .env

Edit .env and add your credentials

GOOGLE_CLIENT_ID=your-client-id.apps.googleusercontent.com GOOGLE_CLIENT_SECRET=GOCSPX-your-secret-here NGROK_URL=https://your-ngrok-url.ngrok-free.dev

Run the script (OAuth will not work)

./restart-vulnicheck-ngrok.sh

Note: The script is provided for future use when FastMCP OAuth + HTTP transport is fixed. Currently, always run without OAuth for external clients.

Building from Source

# Clone the repository

git clone https://github.com/andrasfe/vulnicheck.git cd vulnicheck

Build Docker image

docker build -t vulnicheck .

Run locally built image (no auth)

docker run -d --name vulnicheck-mcp -p 3000:3000 --restart=unless-stopped vulnicheck

Run with Google OAuth

docker run -d --name vulnicheck-mcp -p 3000:3000 \ --restart=unless-stopped \ -e FASTMCP_SERVER_AUTH_GOOGLE_CLIENT_ID=your-client-id \ -e FASTMCP_SERVER_AUTH_GOOGLE_CLIENT_SECRET=your-secret \ -e FASTMCP_SERVER_BASE_URL=http://localhost:3000 \ -v vulnicheck_tokens:/home/vulnicheck/.vulnicheck/tokens \ vulnicheck \ python -m vulnicheck.server --auth-mode google

Docker Hub

The official Docker image is available at:

Docker Hub: andrasfe/vulnicheck
Latest Tag: andrasfe/vulnicheck:latest

Requirements

Docker
Claude Code or any MCP client with HTTP transport support (standard HTTP, no SSE required)
Optional: API keys for enhanced features

Supported File Types

Dependencies: requirements.txt, pyproject.toml, setup.py, lock files
Containers: Dockerfile, docker-compose.yml
Secrets: All text-based source files
GitHub: Any public or private repository URL

Support

Issues: Report problems at https://github.com/andrasfe/vulnicheck/issues
Development: See CLAUDE.md for development details
Security: Report security issues privately via GitHub Security Advisories

DISCLAIMER: Vulnerability data provided "AS IS" without warranty. Users are responsible for verification and remediation.

Vulnicheck

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“网络安全”中的其他服务器比较i

常见问题

替代选择

SML Risk Firewall

Nife

ipdata MCP by usefulapi

作者的 README

VulniCheck - AI-Powered Security Scanner

Quick Start

1. Pull and Run the Docker Container

Run with OpenAI API key (for enhanced AI-powered risk assessment)

Or run without API key (basic vulnerability scanning)

2. Add to Claude Code

Usage

Key Features

Available Tools

Optional API Keys

Authentication (Optional)

Enabling Google OAuth

⚠️ Known OAuth Limitations

Then configure ngrok

Using with ngrok

2. Start ngrok

3. Use the ngrok URL in your MCP client

URL: https://your-generated-url.ngrok-free.dev/mcp

Authentication: None

Edit .env and add your credentials

Run the script (OAuth will not work)

Building from Source

Build Docker image

Run locally built image (no auth)

Run with Google OAuth

Docker Hub

Requirements

Supported File Types

Support