Adversary MCP Server▌
by brettbergin
Adversary MCP Server integrates with Cursor IDE to provide real-time vulnerability scanning, exploit generation, and act
A security-focused server that integrates with Cursor IDE to provide real-time vulnerability detection, exploit generation, and security insights during software development.
best for
- / Developers doing security-focused code review
- / Security teams integrating into development workflow
- / DevSecOps automation in CI/CD pipelines
capabilities
- / Detect vulnerabilities in code using AI analysis
- / Generate exploits for discovered security flaws
- / Validate findings with LLM to reduce false positives
- / Export scan results in JSON, Markdown, and CSV formats
- / Run static analysis with Semgrep integration
- / Track security metrics with telemetry dashboard
what it does
Provides AI-powered vulnerability detection and security analysis directly in your IDE during development. Combines static analysis with LLM validation to reduce false positives.
about
Adversary MCP Server is a community-built MCP server published by brettbergin that provides AI assistants with tools and capabilities via the Model Context Protocol. Adversary MCP Server integrates with Cursor IDE to provide real-time vulnerability scanning, exploit generation, and act It is categorized under auth security, developer tools.
how to install
You can install Adversary MCP Server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Adversary MCP Server is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Adversary MCP Server integrates with Cursor IDE to provide real-time vulnerability scanning, exploit generation, and act
TL;DR: Provides AI-powered vulnerability detection and security analysis directly in your IDE during development. Combines static analysis with LLM validation to reduce false positives.
What it does
- Detect vulnerabilities in code using AI analysis
- Generate exploits for discovered security flaws
- Validate findings with LLM to reduce false positives
- Export scan results in JSON, Markdown, and CSV formats
- Run static analysis with Semgrep integration
- Track security metrics with telemetry dashboard
Best for
- Developers doing security-focused code review
- Security teams integrating into development workflow
- DevSecOps automation in CI/CD pipelines
Highlights
- 70% confidence threshold for validation
- Multi-engine scanning (Semgrep + AI)
- Native Cursor IDE integration