Setting up services on a Linux virtual machine MCP Connectors

npm-package-ws-has-241560546-weekly-downloads-but-sdk A

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

Monitoring Observability Networking & Infrastructure

52

prismix-status-mcp A

Real-time status for 75+ AI services (OpenAI, Anthropic, Cursor). No auth, CORS-enabled.

Monitoring Observability

32

llm-latency-tracker A

Measured latency & uptime for AI inference APIs, by region. Exposes a get_ai_api_latency tool.

Monitoring Observability

121

llm-observability-orchestration B

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith

AI & Machine Learning Observability

121

spikesh A

Read Spike.sh incidents, on-call, escalations and services; acknowledge, resolve, set priority.

Monitoring Observability

162

betterstack A

Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.

Monitoring Observability

92

Koalr A

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.

Developer Tools Monitoring Observability

203

Google GKE A

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.

Cloud Platforms Virtualization Observability

232

Mezmo MCP Server

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

Observability Monitoring

1

healthchecksio A

Manage cron/heartbeat checks, read pings and flips, pause/resume/delete on Healthchecks.io.

Monitoring Observability

2

statuspal A

Read status-page status, services, incidents and metrics; create, update and publish incidents.

Monitoring Observability

112

squadcast A

Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.

Monitoring Observability

162

all-quiet A

Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.

Monitoring Observability

112

portkey A

Read AI-gateway analytics, configs, virtual keys, workspaces and users; log request feedback.

Observability AI & Machine Learning

162

hyperping

Uptime, API and server monitoring with outages, reporting, on-call and status pages.

Monitoring Observability

1

AppAmbit MCP

Connect AI assistants to AppAmbit — the command center for your mobile & desktop apps. Query real-time analytics, sessions, and crash reports; read and push remote config; send push notifications, provision and query managed per-app SQLite databases, deploy serverless Cloud Code functions; and manage a headless CMS. Also generates SDK setup snippets and runs integration diagnostics. Supports .NET MAUI, Swift, Objective-C, Android and more. Built for indie devs, mobile teams, and agencies.

Observability Developer Tools Content Management Systems

3

HivePulse B

Real-time health monitoring and heartbeat tracking for agent services

Monitoring Observability Agent Orchestration

2