security & testing를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1498개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Integrates Pi-hole's network-wide ad blocking capabilities with AI assistants like Claude for natural language control.
Connects to SonarQube instances to retrieve, analyze, and automatically apply fixes for detected code quality issues.
Provides breakpoint-based Python debugging capabilities via API and CLI, designed for integration with AI assistants and development tools.
Integrates CISA's Known Exploited Vulnerabilities (KEV) catalog and advanced threat intelligence into AI agent workflows for sophisticated cybersecurity analysis.
Provides a simple echo service, returning messages it receives for diagnostic and testing purposes within the MCP framework.
Provides a comprehensive toolkit for analyzing directory structures and securely executing code in sandboxed environments for programmatic tool calling.
Provides cryptographically secure random number generation for AI applications, LLMs, and other systems requiring high-quality randomness.
Enable AI agents and applications to securely interact with your PostgreSQL database, deployed as a remote server with GitHub OAuth and Cloudflare.
Provides AI agents with access to development best practices, security guidelines, and coding standards.
Enables AI systems to interact with mobile and desktop applications using Frida's dynamic instrumentation capabilities.
Automates browsers and APIs using the Playwright Model Context Protocol, enabling LLMs to interact with web pages.
Manages Windows Sandbox instances through the Model-View-Controller (MCP) protocol on Windows 11 24H2 and later.
Manages and monitors server processes for AI agents, enforcing strict security through executable allowlists and resource controls.
Returns all HTTP headers sent to the server from an MCP tool.
Creates secure code sandbox environments, executes code in Docker containers, and provides robust code execution capabilities for AI applications.
Empowers AI agents with visual capture capabilities, including multi-format support, PII masking, and robust security controls for dynamic analysis of user interfaces.
Facilitates document request management as a Model Context Protocol server for the DocDocDoc API.
Executes `swift test` commands within Swift package directories, providing programmatic control over testing processes.
Enables AI agents to query network monitoring data from ntopng using the Model Context Protocol.
Diagnoses and fixes GitHub Actions workflow failures through a structured decision tree using the GitHub API.
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