"Editing IDE Code Files in JetBrains" matching MCP connectors:

Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.

Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.

Provision, SSH into, run commands on, and manage Linux VPSes from an AI agent. Pay USDC over x402 (Base) or by card over HTTP 402, a running box in under 60s. No signup, no API key to buy. This remote endpoint offers free browse/discovery, quotes, and server status.

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 cloud servers from AI agents. Create pods, push code, run commands — all via MCP.