Turn Security Vulnerabilities into Automated Fixes with Contrast MCP

Stop manually hunting through vulnerability reports and crafting fixes from scratch. The Contrast MCP server connects your AI coding assistant directly to Contrast Security's vulnerability data, letting you remediate issues with natural language prompts instead of hours of manual analysis.

Why This Changes Your Security Workflow

You're already running Contrast Security scans. You're already using AI coding assistants. But you're still context-switching between tools, manually copying vulnerability details, and writing fixes from memory.

This MCP server eliminates that friction entirely. Your AI assistant gets direct access to Contrast's detailed vulnerability analysis, code context, and remediation guidance. Instead of "fix this SQL injection," you can ask "Review vulnerability CVE-2023-1234 in the user service and implement the fix with proper parameterized queries."

What You Get Out of the Box

Intelligent Vulnerability Analysis: Ask your AI to explain exactly what's wrong, why it's dangerous, and what needs to change. No more deciphering cryptic security reports.

Context-Aware Remediation: The AI sees your actual code structure, dependency versions, and attack vectors. Fixes are tailored to your specific implementation, not generic copy-paste solutions.

Library Management: Identify which vulnerable dependencies are actually being used in your code and get precise upgrade paths to safe versions.

Bulk Operations: "Update all Critical and High severity vulnerabilities in the payment service" becomes a single conversation instead of a day-long task.

Real-World Implementation Scenarios

For Development Teams:

• "List all SQL injection vulnerabilities in the API gateway and fix them with prepared statements"
• "Which libraries in our e-commerce app have CVE-2023-4863 and are actively used in production code?"
• "Update Spring Boot to the latest secure version and fix any breaking changes"

For Security Engineers:

• "Show me all applications vulnerable to the latest Apache Struts CVE and their exposure levels"
• "Which vulnerabilities are being blocked by Protect rules vs. those that need code fixes?"
• "Generate a remediation plan for all Critical findings in client-facing applications"

For DevOps Teams:

• "Identify unused libraries with High/Critical vulnerabilities that can be safely removed"
• "Create pull requests to fix all XSS vulnerabilities in the admin dashboard"

Integration That Actually Works

Skip the complex setup. The server runs as a Docker container or standalone Java application and connects to your existing Contrast Security instance. Works immediately with:

• VS Code with GitHub Copilot - One-click install via the provided link
• JetBrains IDEs with AI Assistant - Drop in the MCP configuration
• Cline/Claude Dev - Full vulnerability context in your editor
• oterm - Command-line security analysis with Ollama models

Getting Started

1. Pull and run the Docker container:

docker run -e CONTRAST_HOST_NAME=your-instance.contrastsecurity.com \
  -e CONTRAST_API_KEY=your-api-key \
  -e CONTRAST_SERVICE_KEY=your-service-key \
  -e CONTRAST_USERNAME=your-username \
  -e CONTRAST_ORG_ID=your-org-id \
  -i --rm contrast/mcp-contrast:latest -t stdio

2. Configure your AI assistant with the server connection (detailed configs provided for each platform)

3. Start asking security questions in natural language

The server handles all the API complexity, authentication, and data formatting. Your AI assistant just sees clean, structured vulnerability data ready for analysis and remediation.

Privacy and Control

Your Contrast data stays between your infrastructure and your chosen AI provider. The MCP server acts as a secure bridge - no data gets stored externally or shared with third parties. You control exactly which vulnerability information gets shared with your AI assistant based on the questions you ask.

Perfect for teams that need AI-powered security workflows without compromising on data governance.

Ready to automate your vulnerability remediation? Clone the repository and have your first AI-guided security fix running in under 5 minutes.