"Automating Task Assignment Based on Priority with Reshuffling Capabilities" matching MCP connectors:

290+ quality-scored API capabilities for AI agents across 27 countries via MCP.

Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di

AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.

EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.

Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.

Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.

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.

Read incidents, services, teams, on-call schedules; acknowledge, resolve and note incidents.

Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.

Public MCP digital twin with synthetic systems and an agent firewall. No customer data.

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.

Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith

Uptime, SSL, domain, and Core Web Vitals monitoring for websites and APIs. List, create, update, and pause monitors; read incident history with AI-generated diagnosis; pull Lighthouse and CrUX page speed data. OAuth 2.0 with dynamic client registration — works out of the box with Claude Desktop connectors. Free plan: 20 monitors, read-only MCP.

Manage cron/heartbeat checks, read pings and flips, pause/resume/delete on Healthchecks.io.

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

Manage incidents and on-call: list/create/update incidents, who is on call, on-call overrides.

Trace, evaluate, and optimize your LLM, RAG, and agent apps with Noveum observability.