"Building Visually Appealing, Modern Websites Using React with Trending UI Designs" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di
Dead-man switch monitors for cron & AI agents with dependency-cascade alerts. No account needed.
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
AI-ready vendor incident status with public active incidents and plan-scoped history.
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
Interact with a global network measurement platform.Run network commands from any point in the world
Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.
Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.
Governed MCP gateway: one endpoint for your tools, with credential custody and audit log.
Monitor websites, APIs, and servers: create monitors, triage incidents, and query uptime stats.
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Uptime, SSL, domain, and Core Web Vitals monitoring for websites and APIs. List, create, update, and pause monitors; read incident history with AI-generated diagnosis; pull Lighthouse and CrUX page speed data. OAuth 2.0 with dynamic client registration — works out of the box with Claude Desktop connectors. Free plan: 20 monitors, read-only MCP.
Trace, evaluate, and optimize your LLM, RAG, and agent apps with Noveum observability.
High-performance array aggregation and metrics clearing engine. Cleans and bucket-groups noisy metric streams via an $O(N)$ single-pass data sweep. Operates natively with the pay-per-call x402 micropayment framework.
Monitor, troubleshoot, and optimize your technology stack with Intelligent Observability.
AI agent run monitoring with incident replay and SLA receipts.
Debug production issues using Shipbook logs and Loglytics error insights.
