security & testing向けの厳選されたMCPサーバーコレクションをご覧ください。1651個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Bridges the gap between testing platforms and development environments, allowing LLMs to access and execute tests.
Enables regular CTFd users to manage challenges, interact with dynamic containers, and submit flags.
Control Android devices through ADB for seamless automation, robust testing, and integrated agent interactions.
Integrates Locust load testing capabilities with AI-powered development environments via the Model Context Protocol.
Enables AI assistants and agents to evaluate responses against various quality criteria using Root Signals evaluators via the Model Context Protocol (MCP).
Optimizes Vitest testing for AI assistants by providing structured output, visual debugging context, and intelligent coverage analysis.
Enables AI assistants to interact with Kibana Security alerts through a Model Context Protocol (MCP) server.
Enables policy-driven vetting of open source dependencies within GitHub workflows to actively protect against vulnerabilities and malicious components.
Provides AI-powered, zero-trust code reviews with multi-model support, intelligent caching, and multilingual capabilities for various programming languages.
Automates security testing, vulnerability research, and bug bounty hunting with AI-powered capabilities and extensive integrations.
Connects AI models and automation tools to TheHive incident response platform.
Queries the NIST National Vulnerability Database (NVD) via its API.
Integrates with the Qase test management platform, providing tools to manage projects, test cases, test runs, results, plans, suites, and shared steps.
Automates complex iOS development workflows by enabling AI assistants to interact with iOS simulators, manage applications, and perform accessibility testing.
Automate comprehensive browser-based end-to-end testing and quality assurance workflows for web UIs.
Provides encryption, decryption, hashing, and encoding functionalities through a Model Context Protocol (MCP) server.
Parses and analyzes HAR (HTTP Archive) files to allow AI assistants to inspect network traffic.
Illustrates a Model Context Protocol (MCP) server implementation using TypeScript and OAuth.
Provides large language models (LLMs) with persistent, long-term memory capabilities across conversations using a multi-layered architecture and rapid GPU-accelerated search.
Builds proof-of-concept, stateless servers without requiring code or hosting.
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