"How to implement Active Directory authentication in a project" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching 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/
Website traffic, human vs bot split, realtime visitors, breakdowns and site health for your DevDome sites. Hosted remote MCP server (streamable HTTP), authenticated with a DevDome API key.
Free anonymous website, DNS, email and TLS checks, plus monitor read and opt-in write access.
Real-time status & uptime monitoring for 294 popular APIs — is it down, and how reliable?
Public read-only demo of Netmon's network monitoring tools over a recorded snapshot.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Watchdog for unattended AI agents: alerts, evidence checks and a verifiable proof per run.
Dead-man's-switch for cron jobs & AI agents. Import a crontab to arm one silent-miss alert per job.
Report-To group count, body discarded
Dead-man switch for cron and webhooks: ingest URL, miss detection, alerts and a status feed.
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.
Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
AI-ready vendor incident status with public active incidents and plan-scoped history.
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.
