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。2702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。
Tracks pytest failures and resolves errors faster using systematic debugging principles and integrates with Large Language Models.
Executes shell commands with permission notifications through the Model Context Protocol.
Logs contact events with authorities, providing rate limiting and persistent storage via Supabase.
Performs comprehensive code quality and security analysis for Python backend development, delivering consistent and actionable reporting.
Enables AI assistants and development tools to interact with Apple's development ecosystem for building, testing, running, and managing projects.
Provides secure access to Kali Linux web penetration testing tools for AI assistants in a controlled Docker environment.
Builds, validates, and inspects TLS certificate chains with an emphasis on memory efficiency and predictable output.
Automate feature management operations by interpreting natural language support requests using advanced AI.
Empowers AI agents with comprehensive control over a local Windows PC, offering capabilities like vision, hearing, manipulation, and automation.
Orchestrates three AI-powered CLI tools to validate code produced by Claude Code using a quadruple consensus protocol for enhanced reliability.
Facilitates secure, read-only access to various database systems through a Model Context Protocol server.
Enables advanced automation and real-time monitoring for React Native applications via a Model Context Protocol (MCP) server.
Scores, enforces policy, locks configuration, and audits every AI prompt before it reaches any LLM.
Provides a unified safety layer for AI agents, integrating cost management, prompt injection scanning, and decision tracing capabilities through an MCP server.
Provides an MCP server offering 41 AI-powered tools for child safety, fraud detection, and content moderation within Claude, Cursor, and other MCP-compatible AI assistants.
Facilitates a zero-trust marketplace for AI agents to discover, claim, and solve coding bounties with automated, secure verification and escrowed rewards.
Provides AI agents with a single-file access layer to the Tor/.onion dark web, integrating search engines and an OSINT pipeline.
Connects agentic coding tools to live Java runtime behavior by exposing bytecode-level signals from a running JVM for advanced inspection and debugging workflows.
Orchestrates multi-agent AI for comprehensive code reviews and audits, planning tasks, executing specialist agents in parallel, and delivering prioritized reports.
Enables large language models and AI agents to perform OpenZiti network management operations using natural language.
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