Vulnicheck

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 Hubdocker 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

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:

   bash

   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:

   bash

   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 ngrokngrok 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 VulniCheckdocker run -d --name vulnicheck-mcp -p 3000:3000 \  --restart=unless-stopped \  andrasfe/vulnicheck:latest
# 2. Start ngrokngrok 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 filecp .env.example .env
# Edit .env and add your credentialsGOOGLE_CLIENT_ID=your-client-id.apps.googleusercontent.comGOOGLE_CLIENT_SECRET=GOCSPX-your-secret-hereNGROK_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 repositorygit clone https://github.com/andrasfe/vulnicheck.gitcd vulnicheck
# Build Docker imagedocker 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 OAuthdocker 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.