"A security license quality system or service" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Is GitHub, npm, Cloudflare or your AI provider down right now? 20 status pages, one call.
Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/
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.
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Dead-man's-switch for cron jobs & AI agents. Import a crontab to arm one silent-miss alert per job.
Dead-man switch for cron and webhooks: ingest URL, miss detection, alerts and a status feed.
Watchdog for unattended AI agents: alerts, evidence checks and a verifiable proof per run.
CVE intelligence: exploitation (KEV/EPSS), detection coverage, fixed versions. All tools keyless.
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Diagnose AI workflows for failure, security, and handoff risks — RED/AMBER/GREEN per node.
Ecosystem monitoring: service status and x402 activity metrics
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.
Cloudflare Workers MCP server: llm-output-quality-monitor
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Cloudflare Radar MCP — internet observatory (traffic, attacks, BGP, quality)
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
