Discover our curated collection of MCP servers for security & testing. Browse 2956 servers and find the perfect MCPs for your needs.
Provides plug-and-play authentication for Model Context Protocol (MCP) servers.
Executes JavaScript code within isolated Docker containers, enabling dynamic npm dependency installation for secure and efficient code execution.
Enables security-focused large language model agents to natively access and utilize the urlDNA threat intelligence platform for threat detection and URL analysis.
Provides extensive network probing and diagnostic capabilities from multiple global vantage points.
Provides a specialized MCP server to assist AI assistants in thoroughly testing other MCP server implementations.
Enables large language models to manage users, threat models, and security data within the Devici platform via an MCP server.
Provides queryable access to FedRAMP 20x security requirements and controls with integrated Azure-first implementation guidance.
Enables AI assistants to securely manage iCloud Calendar events and resources via CalDAV.
Enables AI assistants to execute shell commands, read/write files, and explore the filesystem on your local machine.
Automate Android emulators and devices through ADB for robust mobile testing and development workflows.
Provides a high-performance Model Context Protocol (MCP) server for the USPTO Patent Trial and Appeal Board (PTAB) Open Data Portal API, featuring context reduction, hybrid document extraction, and seamless cross-MCP integration for comprehensive patent lifecycle analysis.
Connects to SAP SuccessFactors to query and manage data, configurations, and security permissions via OData APIs.
Provides structured forensic analysis tools for macOS triage collections, enabling efficient Digital Forensics and Incident Response (DFIR).
Provides a read-only Model Context Protocol interface for Microsoft SQL Server, enabling secure metadata discovery and parameterized data retrieval.
Guides AI code generation to adhere to specific coding standards and architectural patterns, producing production-ready code.
Integrates Google's Threat Intelligence capabilities with AI assistants and custom applications via the Model Context Protocol.
Establishes a persistent, learning, and ethically governed identity for AI systems, enabling continuous interaction and growth across sessions.
Provides AI agents with comprehensive control over a filesystem, enabling file operations, command execution, and process management.
Unifies critical vulnerability intelligence from NVD, EPSS, KEV, GitHub Advisory, and OSV into a single server for AI agents.
Enforces engineering discipline in AI-assisted software development, automating TDD, security, and deployment for production-ready code.
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