Discover our curated collection of MCP servers for security & testing. Browse 2068servers and find the perfect MCPs for your needs.
Documents and analyzes LLM safety challenges within the Grey Swan Arena competitions.
Enables AI assistants to perform code reviews by providing read-only access to GitHub repositories.
Safeguards sensitive information by redacting, allowlisting, and sanitizing data before it reaches large language models.
Implements a Model Context Protocol (MCP) server in Python, offering both stdio and Streamable HTTP transports for AI clients to discover and invoke tools.
Facilitates educational penetration testing by enabling AI assistants to interact securely with authentic Kali Linux tools via a Model Context Protocol server.
Provides an intentionally insecure server for hands-on cybersecurity education and vulnerability demonstration.
Integrates SonarCloud's project, issue, quality gate, and security hotspot management into AI-driven workflows via the Model Context Protocol.
Provides professional C++ coding style checks and best practice recommendations.
Detects and analyzes real-time cheating patterns and suspicious code within Discord servers using advanced AI and a dynamic anti-cheat system.
Provides professional C++ coding style checks and best practice suggestions.
Empowers AI agents with project-specific rulebooks to ensure consistency and adherence to coding standards, conventions, and architectural patterns.
Integrate TestDino test management with AI agents for natural language interaction with test data.
Monitors the Canadian Arctic Ocean with an AI-powered system, processing sensor and vessel data, detecting anomalies, and delivering secured, real-time alerts for defense, environmental protection, and research.
Generates comprehensive performance test plans from OpenAPI specifications using intelligent analysis.
Anonymizes sensitive Russian Personal Identifiable Information (PII) to ensure compliance with 152-FZ.
Performs comprehensive network analysis using tshark, offering 20 tools for capture, analysis, device identification, security auditing, and traffic profiling.
Manages Claude skills by discovering, fetching, validating, and converting them from skills.sh and GitHub repositories.
Provides a declarative gateway for safely executing high-risk operations via YAML-defined tools and pluggable approval chains.
Manages Apidog test cases, scenarios, suites, and test data, providing AI assistants with read/write access to Apidog's test management features.
Enables direct control and automation of Unity Editor functions from coding agents via JetBrains Rider.
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