"Information on Vulnerabilities in Systems or Networks" matching MCP connectors:

AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.

Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.

EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.

Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?

Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.

Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.

Uptime, API and server monitoring with outages, reporting, on-call and status pages.

Read Spike.sh incidents, on-call, escalations and services; acknowledge, resolve, set priority.

Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.

Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.

Public MCP digital twin with synthetic systems and an agent firewall. No customer data.

Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.

The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.

Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax

Governance and grounding layer for engineering teams running AI coding agents (Claude Code, Cursor, Codex). Grounds agents in your codebase's knowledge graph, and adds session audit, policy controls and cost/token visibility.

Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t

Analyze web performance and get optimization insights from GTmetrix, directly in your AI workflow.

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith

Manage cron/heartbeat checks, read pings and flips, pause/resume/delete on Healthchecks.io.

Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.