"Google Earth Engine" matching MCP servers:

Local Phocinae decision-engine MCP stdio server: fail-closed approval gate + classify/route/score.

Production-ready, zero-knowledge AI DevOps deployment, infrastructure provisioning, self-healing execution, and persistent documentation engine for VPS servers.

Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.

About AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.

Enables managing Google Cloud Platform resources through natural language commands in Claude Desktop, supporting comprehensive operations across compute, storage, databases, networking, monitoring, and IAM without manual credential setup.

Connects Claude Desktop to Windows Calculator, enabling accurate mathematical calculations using Windows' native PowerShell calculation engine.

Enables external local AI agents to connect to VPS hosts, type into and read back from live SSH terminals, run commands, and trigger high-level plan-execute agent tasks over stdio or Streamable HTTP. Every write goes through a danger-command risk engine with configurable approval policies, capability toggles, and audited mcp provenance.

Ultra-fast, safe Model Context Protocol (MCP) engine and multiplexing hub in pure Rust, built for Interlayer Blockchain and open for all.

Enables execution of SSH commands on remote servers and management of Google Cloud Platform (GCE) instances through Cursor IDE.

Enables interaction with Google Cloud Platform services through gcloud CLI commands via a Cloud Run deployed MCP server. Supports executing gcloud commands and managing GCP resources through natural language.

Enables an AI agent to see and control a Linux desktop via Wayland/Hyprland, providing screenshots, structured desktop state, pointer/keyboard input, semantic window/workspace tools, and a policy engine for safe execution.

A comprehensive utility MCP server that enables AI assistants to execute system commands, manage files, integrate with Google Sheets and Tasks, perform AI-powered text processing, and load dynamic prompts from markdown files.

Enables Claude Code to execute shell commands, Python code, and file transfers on a Google Colab T4 GPU via an MCP server, bridging the GPU gap for AI coding agents.

Remote MCP / x402 / USDC / Base / Solana / OpenAPI / Google ADK / Gemini Xcatcher is an agent-first Remote MCP server (Streamable HTTP) for high-throughput crawling of fresh/latest posts across large sets of X (Twitter) usernames. It supports x402 pay-as-you-go top-ups using USDC on Base and Solana.

Provides safe, read-only access to memory analysis and debugging functionality through the Model Context Protocol, allowing users to examine computer memory for software development, security research, and educational purposes.

A high-performance MCP execution engine that runs tool code in isolated, resource-constrained sandboxes with context state persistence.

Enables managing Google Cloud Platform infrastructure through natural language, including VM deployment, SSH key management, remote command execution, and Terraform infrastructure-as-code operations.

Advanced shell command execution for AI agents — a Model Context Protocol (MCP) server with security policy engine, process lifecycle management, bounded output capture, POSIX signals, and token-efficient responses.

Local-first MCP server for controlling Google Colab as a development, shell, file, and training runtime, with tools for notebook editing, GPU acceleration, and file transfer.

45+ first-class, OS and backend specific MCP tools that let AI coding agents create, manage, read, edit, and write files inside dev containers, keeping your machine clean and your environment reproducible and deploy-friendly. Use local Docker, GitHub Codespaces, Azure, AWS, Google Cloud or Kubernetes seamlessly!