CyberMCP

CyberMCP is a Model Context Protocol (MCP) server specifically engineered to empower AI assistants with advanced cybersecurity testing capabilities. By exposing a curated set of 14 security tools and 10 rich resources, the server transforms an AI agent into a full‑fledged penetration tester that can probe backend APIs for authentication flaws, injection vulnerabilities, data leakage, and misconfigurations. The goal is to bridge the gap between rapid AI‑driven development cycles and rigorous security validation, ensuring that APIs are vetted before they reach production.

The core value of CyberMCP lies in its seamless integration with popular AI‑powered IDEs such as Claude Desktop, Cursor IDE, Windsurf (Codeium), and VS Code with the Cline extension. Once connected via MCP, an AI assistant can issue high‑level security commands—like “run sql_injection_check on https://api.example.com/users”—and receive structured, actionable reports. This eliminates the need for manual tool configuration and lets developers iterate on code while continuously validating security posture in real time.

Key capabilities include:

• Authentication testing that covers JWT analysis, OAuth2 flows, and brute‑force bypass detection.
• Injection testing for SQL injection and cross‑site scripting (XSS).
• Data protection checks that uncover sensitive data exposure and path traversal weaknesses.
• Infrastructure hardening through rate‑limit assessment and OWASP security header validation.
• A library of comprehensive resources—checklists, guides, and best‑practice references—to help AI agents explain findings and recommend fixes.

Real‑world scenarios that benefit from CyberMCP are plentiful. A startup building a microservices API can have an AI assistant automatically run authentication and injection tests whenever a new endpoint is added, catching regressions before code reviews. Security teams can delegate routine scans to the AI, freeing analysts to focus on complex threat modeling. Continuous integration pipelines can invoke CyberMCP via MCP, ensuring that every commit is vetted for common vulnerabilities without human intervention.

What sets CyberMCP apart is its tight coupling with the MCP ecosystem, allowing AI agents to treat security testing as a first‑class function rather than an external process. The server’s modular design means new tools can be added as plugins, and the rich resource set provides context for AI explanations. In essence, CyberMCP turns security testing into a conversational, on‑demand service that developers can trust to keep their APIs safe while accelerating delivery.