"Information about Google Workspace" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
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.
The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
MCP for retrieving information about recorded session replays.
Research honeypot. Logs connections and tool arguments; injects instructions. Read README first.
Append an operations activity entry
Independent monitoring: status, monitors, and incidents from your StackWitness workspace.
Paid remote MCP for AI Studio Workspace approval gate MCP, structured receipts, audit logs, and revi
