"Google Pay" matching MCP connectors:

Hundreds of pay-per-call tools for agents: company records, screening, validation, web reading.

Heartbeat and tokens/sec monitoring for self-hosted LLM servers (Ollama etc.), with down alerts.

Heartbeat and tokens/sec monitoring for self-hosted LLM servers (Ollama etc.), with down alerts.

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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 which AI agents call your API, which paths convert, and which journeys pay.

High-performance array aggregation and metrics clearing engine. Cleans and bucket-groups noisy metric streams via an $O(N)$ single-pass data sweep. Operates natively with the pay-per-call x402 micropayment framework.