VulniCheck

VulniCheck

AI-powered security scanner for Python projects and GitHub repositories. Detects vulnerabilities, secrets, and provides AI risk assessment.

Category
访问服务器

README

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

  1. 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)
  2. 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"
    
  3. 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
    
  4. 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:

  1. FastMCP fixes OAuth + HTTP transport support, OR
  2. 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:

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.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选
mcp-server-qdrant

mcp-server-qdrant

这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。

官方
精选
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选