"How to deploy a web application" matching MCP connectors:
Matching Connector Tools:
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.
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.
Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.
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.
Cloudflare Radar MCP — internet observatory (traffic, attacks, BGP, quality)
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.
performance-review MCP — wraps StupidAPIs (requires X-API-Key)
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.
RUM platform for web performance analytics, Core Web Vitals, and third-party script monitoring.
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.
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.
An MCP server giving access to Grafana dashboards, data and more.