"Access Discord with ESS (possible abbreviation or software)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Real-time error logging for Cloudflare Workers, Next.js & Vercel. Catch silent crashes, $500 cost spikes, and every AI call with logs inside Cursor & Claude.
Free-trial AI fleet spend meter. Quote agent fleet spend from token usage. 100 calls or 14 days. No auth. Official MCP Registry: io.github.mtardy90-sudo/bootlace-ai-spendmap.
Website traffic, human vs bot split, realtime visitors, breakdowns and site health for your DevDome sites. Hosted remote MCP server (streamable HTTP), authenticated with a DevDome API key.
Is GitHub, npm, Cloudflare or your AI provider down right now? 20 status pages, one call.
Private work routing for authorized buyers and agents, with Zinvyl as the first enabled supplier.
Ask an agent why a PHP site is slow: every request with its SQL, HTTP calls, errors and N+1.
Free anonymous website, DNS, email and TLS checks, plus monitor read and opt-in write access.
Read-only MCP for AI usage profiles, leaderboards, stats, and docs; no writes or private data.
Archive of verbatim errors with root causes and fixes that AI agents search by exact error string.
Check if any website is down, from two continents, with uptime history and TLS expiry
Test HTTP 429/503 retries and Retry-After with server-observed traces; share synthetic findings.
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.
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
AI-ready vendor incident status with public active incidents and plan-scoped history.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
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.
