"A software or tool called Desktop Commander" matching MCP connectors:

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/

MCP tool observatory: do registry servers answer, and are their answers true? No key.

Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.

Uptime watchdog and dead man switch for AI agents and cron jobs. Alerts you when a job goes silent.

Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?

Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.

Research honeypot. Logs connections and tool arguments; injects instructions. Read README first.

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

Track cost, latency, and usage of every MCP tool call from any client (Claude, Cursor, Windsurf). Free 25K calls/month — open-source proxy, EU-hosted.

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.

DORA OS Conductor — 16-tool meta-orchestrator for DORA compliance workflow automation.

DORA OS EventFabric - 14-tool event stream for DORA compliance signals and pub/sub fabric.

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.

Log, evaluate, and ground AI decisions against authority context. Returns PASS, WARN, or BLOCK.

Draw your app's architecture on a live canvas and flag the bottlenecks and security gaps.

API and website monitoring that validates the JSON a response returns, not just its status code. Create endpoint checks, pull incident reports carrying the actual failed payload, and read health scores from your editor.