"How to use make.com" matching MCP connectors:
Matching Connector Tools:
Realtime coordination for AI agents: manage apps, rooms, actors, publish, and dispatch tasks. Visit https://nolag.app and setup your account.
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Scores any web domain's public resilience: TLS, headers, DNS, response time. $0.01/call, no signup.
Check real-time uptime and incident status for 100+ APIs and cloud services.
Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
AI compute infrastructure intelligence: facilities, supply chains, sovereign AI, export controls.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
Track cost, latency, and usage of every MCP tool call from any client (Claude, Cursor, Windsurf). Free 25K calls/month — open-source proxy, EU-hosted.
performance-review MCP — wraps StupidAPIs (requires X-API-Key)
Cloudflare Radar MCP — internet observatory (traffic, attacks, BGP, quality)
Cloudflare Workers MCP server: agent-trace-auditor
Cloudflare Workers MCP server: llm-output-quality-monitor
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.