"Information on using a web browser" matching MCP connectors:

Scan/purge hidden text & score web domains: TLS, DNS, headers, speed. Free scans, $0.01 actions.

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/

AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.

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

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

EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.

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.

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

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

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

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

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

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.

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.

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

Real-time web analytics for AI agents: query traffic, funnels, revenue, and manage your sites.

Analyze web performance and get optimization insights from GTmetrix, directly in your AI workflow.

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

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