MCP Server Playwright

Overview

The MCP Server Pentest is a specialized Model Context Protocol server that empowers AI assistants to perform comprehensive web‑application security testing directly from the conversation. By exposing a suite of browser‑based tools built on Playwright, it enables developers to detect common vulnerabilities such as reflected XSS and SQL injection, capture page screenshots, interact with form elements, monitor console logs, and execute arbitrary JavaScript—all without leaving the AI workflow. This tight integration eliminates the need for separate penetration‑testing tooling, allowing security checks to be embedded into routine development and QA processes.

What Problem It Solves

Modern web applications often contain subtle client‑side flaws that can be overlooked during manual testing. Traditional security scanners require separate setups, complex configurations, and expertise in scripting. The MCP Server Pentest replaces this friction with a declarative interface: an AI assistant can issue high‑level commands (e.g., “test URL for XSS”) and receive structured results instantly. This lowers the barrier to continuous security validation, making it feasible for teams to run automated checks as part of their CI/CD pipelines or during interactive code reviews.

Core Features and Value

• Automatic Vulnerability Detection – The server includes dedicated tools for reflected XSS () and SQL injection (). These tools parse the URL, inject payloads, and return concise vulnerability reports.
• Full Browser Interaction – With navigation (), element clicking, hovering, and form filling primitives, the server can traverse complex single‑page applications or multi‑step workflows that traditional scanners miss.
• Visual Evidence – The tool captures full‑page or element‑specific screenshots, providing visual confirmation of discovered issues. Screenshots can be embedded directly into AI responses for easy review.
• Runtime JavaScript Execution – allows arbitrary script execution, enabling dynamic checks such as DOM manipulation or custom validation logic.
• Console Log Monitoring – By capturing console output, the server surfaces client‑side errors or security‑related messages that might indicate hidden vulnerabilities.

These capabilities give developers a single, AI‑driven interface to conduct thorough penetration testing, reducing context switching and accelerating feedback loops.

Real‑World Use Cases

• CI/CD Security Gates – Embed the MCP server in a pipeline to automatically test new deployments for XSS and SQL injection before merge or release.
• Interactive Bug Hunting – During a code review, an AI assistant can navigate to suspect pages, trigger potential exploits, and return screenshots of the impact.
• Security Audits – Security teams can orchestrate comprehensive browser‑based scans across multiple environments, gathering structured reports that feed into audit documentation.
• Education and Training – Students learning web security can experiment with real tools in a conversational setting, receiving instant explanations and visual feedback.

Integration into AI Workflows

The server registers under the MCP namespace, allowing any Claude or similar AI client to call its tools via standard tool calls. Because the server runs locally and exposes a minimal JSON‑based API, it can be invoked from any language or framework that supports HTTP requests. Developers can embed tool calls directly into prompts, chain multiple actions (navigate → fill form → click → screenshot), and parse the resulting JSON to drive downstream logic or generate user‑friendly reports.

Unique Advantages

• Zero Code in the Prompt – All interactions are expressed through structured arguments; developers need not write JavaScript or shell scripts, keeping prompts clean and focused.
• Cross‑Browser Compatibility – Built on Playwright, the server can run tests in Firefox, Chromium, or WebKit without additional configuration.
• Extensible Toolset – The modular design makes it straightforward to add new browser actions (e.g., keyboard events, network interception) or custom vulnerability checks without altering the core server logic.
• Immediate Visual Feedback – Screenshots and console logs are returned as base64 strings, enabling the AI to embed them directly in chat responses or documentation.

In summary, the MCP Server Pentest turns an AI assistant into a powerful, browser‑based penetration tester. By combining automated vulnerability detection with full page interaction and visual reporting, it streamlines security validation for developers and security professionals alike.