security & testing를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 3259개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Securely stores and retrieves API keys using the macOS Keychain, accessible across projects via the Model Context Protocol (MCP).
Integrates Semgrep static analysis with AI assistants for code analysis, security vulnerability detection, and code quality improvements.
Executes k6 load tests via the Model Context Protocol (MCP).
Analyzes Java code to identify critical design issues for AI-assisted refactoring.
Enables AI agents to control the Intruder security platform.
Scans and remediates hardcoded secrets in codebases using GitGuardian's API, detecting over 500 secret types.
Enables AI assistants to interact with Salesforce organizations by providing tools for Apex execution, data querying, metadata management, and code analysis via the Salesforce CLI.
Provides immediate, actionable architectural insights from Architectural Decision Records (ADRs) to AI agents.
Control Android devices through ADB for seamless automation, robust testing, and integrated agent interactions.
Enables AI tools to orchestrate the complete performance-test lifecycle within BlazeMeter, managing tests, workspaces, projects, and accounts.
Guides AI coding agents by providing strong feedback loops for linting, validating, and dynamically managing code rules based on natural language feedback.
Streamlines API test generation and execution using a YAML declarative approach, optimized for AI coding assistants.
Enables AI agents to perform deep runtime debugging of live Java applications using the Java Debug Interface (JDI).
Provides an AI-driven end-to-end testing platform for agents to generate, execute, and manage test cases within an automated code-test-fix workflow.
Provides AI coding agents with structured code understanding through tree-sitter, significantly reducing token consumption.
Connects AI assistants to TestRail test management, enabling natural language search, creation, update, and execution of test cases.
Detects CSS properties that currently have no visible effect on web page elements, providing actionable insights for developers.
Provides a self-hosted code execution sandbox platform for individuals and small teams.
Provides a Model Context Protocol server, enabling AI assistants to interact with web browsers and mobile applications using WebDriverIO.
Provide AI agents with disposable email inboxes for automated verification, authentication flows, and testing.
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