Discover our curated collection of MCP servers for security & testing. Browse 1771servers and find the perfect MCPs for your needs.
Provides a secure and robust Model Context Protocol server for managing file system operations with built-in safeguards and comprehensive error handling.
Exposes runtime MCP Server vulnerabilities related to GitHub and Linear integrations.
Provides robust browser automation capabilities, enabling large language models to interact with web pages, generate code, and extract data.
Manages `.cursor/rules` directories for Cursor IDE projects, providing automatic rule creation, real-time file watching for changes, and robust MCP file validation.
Implements a complete OAuth 2.1 server for FastMCP, facilitating robust testing of client authentication flows and token management.
Grounds AI agents in factual project reality and official documentation, preventing hallucinations during development sessions.
Provides AI assistants with access to the ZoomEye v2 API for querying internet-wide host and web data.
Enables AI assistants to query information about internet-connected devices and services using the Hunter API.
Provides essential AI security guardrails, integrating with Javelin's platform to protect AI applications against various threats.
Provides AI-powered tools to streamline software development workflows and enhance code quality.
Demonstrates potential security attack vectors against Model Control Protocol (MCP) architectures.
Provides a production-ready Model Context Protocol (MCP) server that exposes commerce tools through a secure HTTP bridge for AI-ready, agent-accessible services.
Parses and analyzes HTTP Archive (HAR) files to extract comprehensive insights from network traffic captures.
Executes Postman collections using Newman, enabling LLMs to run API tests and retrieve detailed results.
Integrates security scanning capabilities like secret detection, SCA, SAST, and DAST into IDEs, offering AI-powered remediation suggestions via the Model Context Protocol.
Empower AI assistants to execute, debug, and visualize RxJS streams, enhancing reactive programming workflows directly within your development environment.
Enables AI agents to execute shell commands securely on a host system with strict allowlist controls.
Scans URLs using the urlscan.io API and serves the results via the Model Context Protocol (MCP).
Performs axe accessibility scans on specified URLs utilizing Playwright for browser automation.
Empowers AI models to directly manage and analyze PingOne resources using the Model Context Protocol.
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