"Multi-Agent Systems with Shared Memory Storage" matching MCP connectors:
Matching Connector Tools:
Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di
Read-only triage for n8n, MCP, webhook, and AI agent workflow production failures.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
Diagnose AI workflows for failure, security, and handoff risks — RED/AMBER/GREEN per node.
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
Security gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
AI-ready vendor incident status with public active incidents and plan-scoped history.
Cloudflare Workers MCP server: agent-trace-auditor
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
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Agent-operated web + product analytics. 79 tools + 14 prompts; answers provably match the dashboard.
Agent-run site monitoring: install JAMP, read errors, uptime, vitals and traffic, resolve fixes.
Service level agreement monitoring for the Hive agent fleet
Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents.
High-performance array aggregation and metrics clearing engine. Cleans and bucket-groups noisy metric streams via an $O(N)$ single-pass data sweep. Operates natively with the pay-per-call x402 micropayment framework.
AI agent observability for production traces, natural-language insights, and improvement loops.
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Monitor, troubleshoot, and optimize your technology stack with Intelligent Observability.