"Simple HTTP server or client implementation" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
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.
Free anonymous website, DNS, email and TLS checks, plus read-only access to your monitors.
Free uptime monitoring: HTTP/TCP/TLS/DNS + MCP server checks, cron heartbeats, status pages, alerts.
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
Check real-time uptime and incident status for 285 APIs and cloud services.
Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Live health and AI-readable metadata of invokera.com. Demo of an Invokera-hosted MCP server.
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Vantaj uptime monitoring via MCP - manage monitors, heartbeats, incidents, and status pages.
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.
Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.
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.
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.
- ZopnightOAuthdev.zop.api
Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude
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
