"Compare all differences between two source code folders, including binary files" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Linux microVM sandboxes for AI agents: run commands, files, processes, pause and wake.
No-KYC VPS + per-second code sandboxes AI agents run over MCP — 75 tools, SDK, pay BTC/XMR/USDC/USDT
Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.
Packer source block count, body discarded
Zero-Ops deploy of a private AI workspace to your own VPS — from your AI chat. Free and open-source.
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
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 Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
Validates AI infra code on real VMs. Self-corrects until it works. No containers, no sandboxes.
Deploy and manage web apps on InstaPods: create pods, push files, run commands, read logs.
Deploy containers on Kubernetes with x402 billing. 9 workload types and source builds.
