Discover our curated collection of MCP servers for security & testing. Browse 3231 servers and find the perfect MCPs for your needs.
Enables LLM agents to safely execute arbitrary Python code within a secure, ephemeral sandbox via a lightweight, open-source Model Context Protocol (MCP) server.
Enables AI applications to interact with Microsoft 365 and Azure AD services through a standardized Model Context Protocol (MCP) server for Microsoft Graph v2 beta API.
Serves as a high-volume test server for evaluating semantic tool search capabilities and client resilience.
Facilitates structured logging of Agentic AI calls to MCP servers, enabling continuous security monitoring and automated remediation.
Monitors domain registration and SSL certificate expiration dates.
Performs semantic code search across local projects and Git repositories using AI embeddings with support for OpenAI and Ollama.
Transforms natural-language security requirements into production-ready Cerbos YAML policies for AI agent and application governance.
Manages Tailscale networks with a FastMCP 2.12 compliant server, offering extensive control and observability.
Provides a Model Context Protocol server for querying, searching, and retrieving comprehensive details on MITRE ATT&CK adversarial tactics, techniques, mitigations, and detections.
Delivers real-time code analysis and quick fixes for multiple programming languages to enhance software quality.
Empowers LLM coding assistants to accelerate development of Cortex XSIAM/XSOAR content by providing semantic search, SDK operations, and remote tenant management.
Provides AI-native access to the MITRE ATT&CK threat intelligence framework with over 80 tools for querying techniques, tactics, groups, software, and mitigations across Enterprise, Mobile, and ICS domains.
Provides a Multi-Subdomain Platform (MCP) server designed to enforce coherence, governance, and safety primitives for AI-driven workflows.
Facilitates structured, auditable, and latency-safe collaboration between humans and AI agents by managing decision requests through a ticket system.
Securely share self-destructing secrets using zero-knowledge encryption and client-side processing.
Establishes a robust governance layer for AI agents, enforcing policies, managing credentials, and auditing interactions with external tools.
Empowers AI assistants to control Tracecat SOAR platform operations through natural language, managing workflows, actions, cases, and more.
Establishes a comprehensive evidence trail for AI agents performing long-running desktop and browser tasks, including screenshots, screen recordings, redaction, and reviewable summaries.
Enables secure, deterministic AI-assisted scene creation and editing within the Unity Editor by constraining intent execution through a guarded control kernel.
Provides a Model Context Protocol (MCP) server for exploring, analyzing, and decompiling Java JAR files.
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