"Information about Obsidian (note-taking app or volcanic glass)" matching MCP connectors:

Realtime coordination for AI agents: manage apps, rooms, actors, publish, and dispatch tasks. Visit https://nolag.app and setup your account.

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

Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?

Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.

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

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

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.

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.

Website uptime monitoring: live status, uptime reports, incidents, response times, failed checks

Read-only triage for n8n, MCP, webhook, and AI agent workflow production failures.

Causal reasoning for reliability: root cause, blast radius, and service health for agents.

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

Set up uptime monitoring from your editor: create checks, configure alerts, query uptime history.

Log, evaluate, and ground AI decisions against authority context. Returns PASS, WARN, or BLOCK.

API and website monitoring that validates the JSON a response returns, not just its status code. Create endpoint checks, pull incident reports carrying the actual failed payload, and read health scores from your editor.

API monitoring from your editor. Checks the JSON your endpoints return, not just the status code.

Client-website monitoring for agencies: uptime, incidents, SSL/domain expiry, server metrics.

Privacy-first, cookie-free web analytics: create sites, install and verify tracking, read stats.

Ask your app anything — revenue, errors, read-cost, growth — and get rendered charts back.