security & testing를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 3248개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables querying and retrieving threat intelligence data from an OpenCTI platform through a standardized Model Context Protocol (MCP) interface.
Enables AI models to interact directly with your Okta environment using the Model Context Protocol (MCP).
Provides an enterprise governance layer for Model Context Protocol SDK, adding identity, RBAC, credential management, auditing, logging, and tracing capabilities.
Exposes the Keycloak admin client as a Model-Context Protocol (MCP) server.
Safely executes Python code and manages packages in isolated Docker containers, designed for use with LLMs.
Facilitates code review and security analysis using a Joern-based MCP server.
Audits webpages for accessibility issues using axe-core and integrates with AI assistants for automated remediation.
Launches an MCP server to act as a gateway to Trivy vulnerability scanning.
Enables large language models to interact with GDB for binary debugging and analysis.
Empowers Large Language Models to make HTTP requests and interact with web APIs through a secure, controlled interface.
Guides GitHub Copilot to generate secure code, block risky patterns, and reinforce safe coding practices across multiple programming languages.
Aggregates multiple Model Context Protocol (MCP) servers, providing policy-based access control and on-demand tool discovery for agents to prevent context window bloat.
Equip AI coding agents with instant, token-efficient, and accurate test coverage data from LCOV files to enhance code quality and testing efforts.
Enables AI agents to access Microsoft Entra data by translating natural language queries into Microsoft Graph API calls.
Provides ephemeral Linux sandboxes for LLM agents to execute shell commands securely.
Generates an always-fresh, function-level code dependency graph with sub-second incremental rebuilds, supporting local semantic search and impact analysis for AI agents.
Automates Android dynamic analysis by enabling AI to directly control Frida for reverse engineering tasks.
Streamlines the containerization workflow for applications, offering AI-powered assistance for building, scanning, and deploying Docker containers through VS Code and other compatible tools.
Exposes IDA Pro's comprehensive binary analysis capabilities as a headless server via the Model Context Protocol.
Automates code quality checks for AI-generated code, ensuring adherence to high standards through integrated linters, formatters, and static analysis tools.
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