"Google Search Console" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.
Health and token cost of every remote MCP registry server, probed daily. Look up, search, or probe.
Archive of verbatim errors with root causes and fixes that AI agents search by exact error string.
Ingest and search LogsLoom logs from coding agents.
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
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.
DevOps, SRE, and QA intelligence for Cursor — investigate bugs, assess release readiness, search logs, triage outages, diagnose failed CI, check deployments, and query connected cloud platforms. Secure remote MCP with OAuth2 and read-only QA subagents.
heera.it via Agentimus: AI readiness, traffic, request log, search & index reports, by approval.
Search logs, investigate errors, check deployments, and monitor uptime for your elmah.io org.
Search log events, investigate anomalies, and manage cases in your Knowledge Grid tenant.
Production observability for AI agents: search runs, read evaluations, acknowledge incidents.
Live service status, active incidents, search, and outage history from Downtester.
Read-only access to Auralogs production logs: search logs, inspect errors, review AI analyses.
