security & testing를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1772개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Integrates with the AbuseIPDB API to check and report abusive IP addresses.
Analyzes project structures and manages files with advanced search and dependency management capabilities.
Provides an API layer to link AI agents and automation with CTFd instances for challenge retrieval and flag submission.
Provides a smart, real-time command execution system for Kali Linux, adhering to the Model Context Protocol (MCP) standard.
Manages and monitors server processes for AI agents, enforcing strict security through executable allowlists and resource controls.
Enables AI assistants like Claude Desktop to directly interact with source code files and project directories for enhanced development workflows.
Facilitates integration with the Qase test management platform via the Model Context Protocol (MCP).
Facilitates the development and testing of Nextflow itself through a dedicated MCP server.
Automates the detection and masking of sensitive personal data in text, ensuring compliance with Russian Law 152-FZ.
Provides a deterministic runtime governance layer that monitors risk signals and adjusts constraints to keep AI systems operating within safe boundaries.
Provides a high-performance, context-aware search engine for Python codebases supporting text, regex, AST, and semantic search.
Automates MySQL database management using natural language via an AI-powered Machine Control Protocol (MCP) server.
Empower autonomous management of GitHub repositories, branches, security, and Actions through natural language commands.
Filters text data with a powerful rules engine to protect data and enforce policies when using Large Language Models.
Enables dynamic security orchestration by bridging LLM clients with a middle layer of hyperautomation workflows.
Integrates a suite of Open-Source Intelligence (OSINT) tools for AI assistants to conduct reconnaissance and information gathering.
Empowers AI assistants with direct access to browser DevTools, React state, and runtime debugging capabilities for frontend applications.
Automates container image vulnerability patching through a Model Context Protocol (MCP) server.
Integrates Zebrunner Test Case Management with AI assistants to empower QA teams with test case, suite, and execution data management.
Provides an AI agent communication interface and a REST API server for automating bug bounty hunting workflows.
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