Discover our curated collection of MCP servers for security & testing. Browse 1291servers and find the perfect MCPs for your needs.
Enables AI assistants to build and test Xcode projects through a standardized Model Context Protocol interface.
Securely manages credentials for MCP servers by leveraging system-native keychain storage across macOS, Windows, and Linux.
Empowers AI coding agents to precisely automate interactions within web browsers and Electron desktop applications.
Provides read-only access to MySQL databases.
Secures database queries through a multi-agent architecture using the A2A protocol, Agent Development Kit, and Model Context Protocol.
Enables structured interaction with network devices via STDIO using the JSON-RPC 2.0 protocol.
Enables the execution of JMeter tests via Model Context Protocol (MCP)-compatible clients.
Provides AI assistants like Claude with access to ROADRecon Azure AD data for security analysis.
Empowers an AI assistant with comprehensive cross-platform system control and a vast arsenal of tools for management, security, and automation.
Audits Java source code for vulnerabilities using function-level taint analysis, providing security insights to AI assistants.
Provides programmatic control over iOS simulators through a Model Context Protocol (MCP) server.
Audits npm package dependencies for security vulnerabilities using a remote npm registry.
Connects AI assistants to your ShadowGit history, enabling sophisticated code analysis and debugging.
Measures webpage performance metrics using Google's Lighthouse, enabling AI assistants to optimize these metrics.
Enables AI-assisted debugging by providing a Model Context Protocol (MCP) server for GDB interaction.
Simplifies authorization for Python Model Context Protocol (MCP) servers.
Enhances language models with specialized prompts fetched from the L1B3RT4S repository to potentially bypass limitations.
Provides language models with essential random number and token generation capabilities.
Provides a lightweight and secure Python code execution sandbox based on IPython and Docker, designed for AI agents.
Performs open-source intelligence (OSINT) tasks leveraging common network reconnaissance tools.
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