"General or unclear search query" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Is GitHub, npm, Cloudflare or your AI provider down right now? 20 status pages, one call.
Analytics for MCP servers. Find out which of your tools agents get wrong. MCPulse shows you which tools AI agents retry, which come back empty, and which they never call at all. Two lines inside your own server. It never sees your arguments or your results. getmcpulse.com
Free-trial AI fleet spend meter. Quote agent fleet spend from token usage. 100 calls or 14 days. No auth. Official MCP Registry: io.github.mtardy90-sudo/bootlace-ai-spendmap.
Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.
Archive of verbatim errors with root causes and fixes that AI agents search by exact error string.
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Manage hosted agentguard proxies: caps, dry-run, loop breaker, run reports, audit export.
MCP server for 0001SENSATIONS: 107-level textual descent, append-only trace logging
Dead-man switch monitors for cron & AI agents with dependency-cascade alerts. No account needed.
Query analyzed WebRTC sessions: observations, deductions, experience scores, and AI summaries.
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.
Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
Query Checkly synthetic monitoring — checks, statuses, results, alerts, reporting and dashboards.
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.
heera.it via Agentimus: AI readiness, traffic, request log, search & index reports, by approval.
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
