"Understanding Server-Sent Events (SSE)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Ask your AI about your EventSend events, delivery health and usage.
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.
Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.
Free anonymous website, DNS, email and TLS checks, plus monitor read and opt-in write access.
Live status probes plus published uptime and incident history for 280+ APIs and cloud services.
Free uptime monitoring: HTTP/TCP/TLS/DNS + MCP server checks, cron heartbeats, status pages, alerts.
Live health and AI-readable metadata of invokera.com. Demo of an Invokera-hosted MCP server.
Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Vantaj uptime monitoring via MCP - manage monitors, heartbeats, incidents, and status pages.
Cloudflare Workers MCP server: cron-monitor
Cloudflare Workers MCP server: agent-trace-auditor
ThousandEyes MCP Server for network intelligence: outages, anomalies, alerts, events, and tests.
Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.
Inspect webhook health, investigate delivery failures, configure sources, and replay events.
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
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.
Oviond brings data from 100+ marketing platforms into one reporting platform. Through the Oviond MCP server, AI assistants can securely access and work with Oviond clients, projects, reports, dashboards, widgets, and marketing data. Ask questions about your reporting data, analyze marketing performance, and manage reporting workflows directly through your AI assistant.
Analytics for MCP servers. Find out which of your tools agents get wrong. MCPulse shows you which tools AI agents retry, which come back empty, and which they never call at all. Two lines inside your own server. It never sees your arguments or your results. getmcpulse.com
