Discover our curated collection of MCP servers for security & testing. Browse 2090servers and find the perfect MCPs for your needs.
Programmatically controls Android devices via ADB, exposing management capabilities to MCP clients.
Enables secure interaction with MySQL databases through a Model Context Protocol (MCP) server.
Autonomously evaluates web applications using LLM-powered agents within a code editor.
Integrates JADX decompiler with Model Context Protocol (MCP) for AI-powered static code analysis and real-time reverse engineering.
Analyzes agentic systems to identify potential vulnerabilities and security insights.
Enables AI models to analyze Windows crash dumps by bridging LLMs with WinDBG/CDB.
Scans Model Context Protocol (MCP) servers for common security vulnerabilities like prompt injections and tool poisoning.
Demonstrates security vulnerabilities in Model Context Protocol (MCP) implementations for educational purposes.
Provides a secure sandbox environment to test payloads against detection mechanisms before deployment.
Automates QA testing of websites using Browser-Use agents to identify UI bugs, broken links, and accessibility issues.
Analyzes software composition for vulnerabilities and malicious packages using policy-as-code.
Securely executes code generated by Large Language Models in an isolated and portable environment.
Provides a self-hosted registry and unified gateway for managing Model Context Protocol (MCP) servers and their tools for AI agents.
Provides a security-oriented runtime for executing WebAssembly Components through the MCP protocol, enhancing AI agent capabilities.
Automates the evaluation and debugging of web applications using a browser-powered agent directly within your code editor.
Executes AI-generated code in a secure local sandbox on your Mac using Apple containers.
Provides a design reference project for bootstrapping compliant and modern API development in C#.
Autonomously evaluates web applications by deploying a browser-driving agent directly from your code editor.
Detects codebase patterns and conventions to provide AI agents with deep context for code generation and analysis.
Transforms large codebases into a searchable, hierarchical feature graph by combining AST parsing, spectral clustering, and Obsidian-style linking.
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