"Information about novels or works of fiction" matching MCP connectors:

Reports the launch status of YK Blueprint.

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

Live health and AI-readable metadata of invokera.com. Demo of an Invokera-hosted MCP server.

Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.

Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.

Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.

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

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.

Gain visibility into the performance, availability, and health of your apps and infrastructure.

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.

MCP for retrieving information about recorded session replays.

Uptime, SSL, domain, and Core Web Vitals monitoring for websites and APIs. List, create, update, and pause monitors; read incident history with AI-generated diagnosis; pull Lighthouse and CrUX page speed data. OAuth 2.0 with dynamic client registration — works out of the box with Claude Desktop connectors. Free plan: 20 monitors, read-only MCP.

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

Uptime, SSL, DNS and domain monitoring you can talk to from Claude or any MCP client.

Mobile observability for AI agents. Investigate crashes, hangs, ANRs, bugs, and app performance, and triage app store reviews, directly from your IDE or terminal.

The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.