"A guide to building a website" matching MCP connectors:
Matching Connector Tools:
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/
Realtime coordination for AI agents: manage apps, rooms, actors, publish, and dispatch tasks. Visit https://nolag.app and setup your account.
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
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.
performance-review MCP — wraps StupidAPIs (requires X-API-Key)
Cloudflare Radar MCP — internet observatory (traffic, attacks, BGP, quality)
Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Free anonymous website, DNS, email and TLS checks, plus read-only access to your monitors.
Measured latency & uptime for AI inference APIs, by region. Exposes a get_ai_api_latency tool.
Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
EU-hosted website monitoring + 17-framework compliance MCP. One anonymous tool, four authenticated.
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.
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.