Discover our curated collection of MCP servers for security & testing. Browse 1969servers and find the perfect MCPs for your needs.
Executes Postman collections using Newman, enabling LLMs to run API tests and retrieve detailed results.
Manages authentication with secure credential management, multi-protocol support, and threat detection.
Executes shell commands and reads files securely through the Model Context Protocol.
Manipulates text using Unicode tricks for steganography, bypassing filters, and creating puzzles.
Implements a Model Context Protocol server to facilitate operations and management of Easegress gateways.
Provides unrestricted command-line access to Windows environments with SYSTEM-level privileges, enhancing the original Windows CLI server.
Provides a production-grade A/B testing framework with three levels of scientific rigor for comparing large language model (LLM) outputs.
Transforms a Dify application into a Message Communication Protocol (MCP) server endpoint.
Enables dynamic registration and AI-powered simulation of custom tools for Model Context Protocol (MCP) agents.
Conduct efficient security audits for npm dependencies, providing key insights in standardized formats for local and remote projects.
Provides a Model Context Protocol (MCP) server implementation to facilitate interactions between AI agents.
Validates Dify Workflow DSL YAML files for correctness and adherence to specifications.
Manages Palo Alto firewalls through their REST API, offering tools for system information retrieval, upgrades, content updates, and certificate management.
Enables ChatGPT Desktop to directly access and interact with local filesystems through a secure Model Context Protocol (MCP) server.
Provides a Dockerized Ubuntu environment accessible via a secure HTTP API to safely execute shell commands for AI agents without modifying the host system.
Establishes a strict agentic protocol and memory system for Playwright, ensuring grounded verification, institutional memory, and architectural governance for test automation.
Empowers AI assistants with deep code analysis capabilities, including AST-based test generation, OWASP-style security audits, and intelligent refactoring suggestions.
Manages AdGuard Home filtering and settings via the Model Context Protocol.
Ensures AI agents obtain explicit, verified consent before initiating contact with humans, acting as an ethical gateway for proactive interactions.
Enables AI clients to automate vulnerability scanning and reporting by exposing Greenbone/OpenVAS operations via the Model Context Protocol.
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