"Google Vertex AI Platform" matching MCP servers:

Complete Google Ads API v21 MCP server with 40+ fully implemented tools for campaign, ad group, keyword, extension, and portfolio bidding management, enabling AI assistants to create, optimize, and manage Google Ads campaigns through natural language commands.

interactive-mcp

A cross-platform screenshot tool that lets coding agents capture and view their output, enabling self-correction through visual feedback.

An MCP server that lets AI agents see, act on, and verify the rendered Neovim UI, like a Playwright for Neovim. It provides tools to launch/attach to Neovim, observe the screen, send input, and wait for conditions.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Cross-platform MCP server for policy-controlled command execution on Linux and Windows, with no SSH dependency.

Enables OpenAI Codex to delegate tasks to Google Antigravity CLI, running them headlessly and polling for results.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

CLI Builder AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

A controlled Model Context Protocol bridge that lets OpenAI Codex delegate work to Google Antigravity CLI on demand, with project-scoped opt-in and read-only delegation.

Enables AI agents to interact with physical embedded target boards over a dual-CDC USB bridge using MCP tools. It exposes console reading, pattern waiting, command sending, reboot/login state machines, and in-RAM MicroPython execution while a single-owner daemon safely arbitrates access to the serial devices.

Lets Codex delegate tasks to the Google Antigravity CLI (agy) with background job execution, live progress tracking, a visual dashboard, and structured error diagnostics.

JSON-first Coreutils CLI for AI agents. 114 commands with sandbox, dry-run, and MCP zero-dependency server.

Enables MCP clients to run Google Antigravity CLI (agy) as durable, detached asynchronous jobs with a permission gate and broker-computed verdicts that do not trust agy's own exit code.

Runs AI-generated code in secure Firecracker microVMs with opt-in network policy enforcement, PII scanning, prompt injection defense, and audit logging. Exposes MCP tools for running commands, managing files, and the full sandbox lifecycle.

A cross-platform MCP server providing secure, user-approved privilege escalation for Cursor agents, with tools for running commands as admin on Windows and root on Linux.

Wraps Google Antigravity CLI into 11 typed MCP tools, enabling any MCP client to invoke agy for code review, prototyping, execution, and long-running tasks.

MCP server that lets AI assistants scaffold, build, register, query, and diagnose Microsoft Dataverse plug-ins directly from conversation, orchestrating Power Platform CLI and Azure CLI.

Enables natural language SSH server management via Claude Code, allowing users to read logs, check services, run commands, and transfer files across multiple servers.

MCP server that enables AI assistants to debug IoT modules by sending AT commands over serial ports, with a built-in knowledge base for chip platform commands.

MCP server that provides AI access to a local terminal, enabling command execution, directory navigation, and system operations with persistent session state.

MCP server for the Pinoox PHP HMVC platform, giving any MCP-compatible AI client real project context.

Enables running multiple AI CLI tools (Claude, Codex, Gemini, Forge, OpenCode) as background processes with automatic permission handling, allowing LLMs to execute async multitasking and combine different AI models.

Exposes Cadence EDA tools such as OrCAD Capture, Allegro PCB Designer, and PSpice to AI assistants, enabling them to browse PCB files, generate schematics and netlists, and run circuit simulations through a license-free, cross-platform interface.

Cross-platform desktop automation MCP server that lets AI agents capture screenshots, run OCR with UI-element classification, control mouse/keyboard, and launch programs on Linux, macOS, and Windows.

A comprehensive MCP tools collection providing filesystem operations, command execution, system tools, and more, with cross-platform support and strong security features.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

A local AI agent workspace that allows users to interact with simulated data files via custom slash commands and context mentions, powered by Google GenAI SDK and MCP.

An MCP server that enables Claude to interact with Tembo Cloud platform API, allowing users to manage Tembo Cloud resources through natural language.

The Problem Modern distributed systems and AI agents require robust operational scaffolding. Simple CRUD apps or mock loops fail when subjected to real-world edge cases, asynchronous boundaries, and security constraints. The Solution An isolated execution platform for AI agents. An agent is given a broken service and a bounded toolset inside a disposable sandbox. Every command passes throug