"Using ComfyUI on the web with cloud services" matching MCP connectors:

Real-time status for 75+ AI services (OpenAI, Anthropic, Cursor). No auth, CORS-enabled.

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

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

Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.

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

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

Read status-page status, services, incidents and metrics; create, update and publish incidents.

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

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

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

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

AI-ready vendor incident status with public active incidents and plan-scoped history.

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.

Gain visibility into the performance, availability, and health of your apps and infrastructure.

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.

RUM platform for web performance analytics, Core Web Vitals, and third-party script monitoring.

The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.

Real-time web analytics for AI agents: query traffic, funnels, revenue, and manage your sites.

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

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.