"Setting up a streamable HTTP server" matching MCP connectors:

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/

Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di

A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.

Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.

Free anonymous website, DNS, email and TLS checks, plus read-only access to your monitors.

Free uptime monitoring: HTTP/TCP/TLS/DNS checks, cron heartbeats, status pages, incident tools.

Uptime watchdog and dead man switch for AI agents and cron jobs. Alerts you when a job goes silent.

Check real-time uptime and incident status for 285 APIs and cloud services.

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.

Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.

Cloudflare Workers MCP server: cron-monitor

Cloudflare Workers MCP server: agent-trace-auditor

Cloudflare Workers MCP server: llm-output-quality-monitor

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.

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.

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