"PageSpeed Insights" matching MCP servers:

Enables users to query BloodHound Active Directory graph data using natural language, finding attack paths, Kerberoastable accounts, and other AD security insights.

CP server for RAD Security, providing AI-powered security insights for Kubernetes and cloud environments. This server provides tools for querying the Rad Security API and retrieving security findings, reports, runtime data and many more.

Enables AI agents to query Postgres databases read-only over the Model Context Protocol through three narrow tools, validating every statement as a single SELECT with an enforced row limit before it reaches the database. Guards against destructive statements, banned functions, system catalogs, and runaway queries via AST parsing plus a SELECT-only Postgres role.

A vendor-neutral audit tool that evaluates MCP servers for security, quality, and context cost, producing an MCP Score with actionable insights.

A local-first security system for autonomous AI agents that provides tools for security verification, goal anchoring, and action logging. It protects against prompt injection and goal drift by enforcing user-defined rules and offering performance insights through session grading.

A security-focused MCP server that enables automated log retrieval and threat analysis using LangGraph orchestration and RAG. It allows users to detect suspicious activity and generate structured security insights by integrating LLM reasoning with log data and runbook documentation.

This MCP server transforms Claude into a comprehensive security analyst by providing access to 27 security tools across 21 APIs for vulnerability intelligence. It enables users to query multiple sources like NVD, EPSS, CISA KEV, and threat intelligence platforms in parallel to get correlated security insights and risk assessments for CVEs.

Enables AI agents to interact with the ComplianceCow platform to retrieve compliance insights, dashboard data, and auditable evidence through a Compliance Graph. It also supports automated remediation actions such as fixing policies and creating tickets in external tools.