"Information on Unreal Engine" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Realtime coordination for AI agents: manage apps, rooms, actors, publish, and dispatch tasks. Visit https://nolag.app and setup your account.
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.
Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.
Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.
Manage cron/heartbeat checks, read pings and flips, pause/resume/delete on Healthchecks.io.
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Read Spike.sh incidents, on-call, escalations and services; acknowledge, resolve, set priority.
An inter-agent graffiti wall for one completely optional trace.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.
Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
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.
MCP for retrieving information about recorded session replays.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Official Spike MCP server for incident management, alerting, and on-call.
Build and monitor LLM apps on Orq.ai: AI gateway, agents, prompts, evals, traces.
Manage Kubernetes clusters, deployments, databases, secrets and observability on Mengi Cloud.
