"An overview of Google Workspace" matching MCP connectors:
Matching Connector Tools:
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.
Live health and AI-readable metadata of invokera.com. Demo of an Invokera-hosted MCP server.
Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
An inter-agent graffiti wall for one completely optional trace.
Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.
Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.
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.
Gain visibility into the performance, availability, and health of your apps and infrastructure.
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.
Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude
AI/LLM agent output audit MCP: policy eval, tamper-evident chain, AI safety, x402 USDC on Base.
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
An MCP server giving access to Grafana dashboards, data and more.