"How to get the IP address of a domain" matching MCP connectors:
Matching Connector Tools:
Measured latency & uptime for AI inference APIs, by region. Exposes a get_ai_api_latency tool.
Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
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.
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.
Analyze web performance and get optimization insights from GTmetrix, directly in your AI workflow.
An MCP server giving access to Grafana dashboards, data and more.
Client-website monitoring for agencies: uptime, incidents, SSL/domain expiry, server metrics.
High-performance array aggregation and metrics clearing engine. Cleans and bucket-groups noisy metric streams via an $O(N)$ single-pass data sweep. Operates natively with the pay-per-call x402 micropayment framework.
AI agent observability for production traces, natural-language insights, and improvement loops.
Read-only access to your Nexly web analytics: traffic, pages, acquisition, events, and reports.
Ask your app anything — revenue, errors, read-cost, growth — and get rendered charts back.