"Using web fetch functionality or fetching data from the web" 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/

Monitor uptime and incidents, run checks, and publish status updates from your Uptimepage org.

Reports the launch status of YK Blueprint.

Manage EchoRelay API integrations from any MCP client: lines, endpoints, keys, billing, logs, DLQ.

Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.

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

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.

Public MCP digital twin with synthetic systems and an agent firewall. No customer data.

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.

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.

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

DriftOracle - 15 tools for model/data drift monitoring: PSI, KS-test, alerts, evidence packs.

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.

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.

Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t

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