"iCloud" matching MCP servers:

A Model Context Protocol (MCP) server that integrates Claude with the Terraform Cloud API, allowing Claude to manage your Terraform infrastructure through natural conversation.

Enables a single user to let ChatGPT read and control a dedicated Chromium browser running on their own server, with tab, navigation, and browser-action tools plus manual approval safeguards.

Reference MCP server for IOX Cloud — a deployment platform for MCP servers and AI agents. Deploys to 300+ edge locations via Cloudflare Workers for Platforms with per-tenant V8 isolation, built-in OAuth 2.1, and usage tracking. This repo demonstrates a minimal MCP server that introspects the IOX Cloud platform (tools: get_platform_info, list_templates, estimate_cost, check_slug_available).

An MCP server providing discovery of x402 paid services, MCP servers, and A2A agents, with safety scanning capabilities.

Fans out agent requests to AWS, Azure, and GCP MCP servers, using a local sentence transformer to surface only the 15 tools relevant to the current task, reducing context bloat.

Enables connecting multiple business tools behind a single managed MCP endpoint with per-connector permissions, dispatch, and audit records.

Enables AI agents to drive a remote headless Chromium browser through Playwright on Vercel serverless functions, supporting navigation, snapshots, clicking, form filling, key presses, scrolling, text extraction, screenshots, and JavaScript evaluation. Browser state is carried in an encrypted client-side session token, so no database or third-party browser service is required.

Provides AI agents with natural language control over AWS, Azure, GCP, and Alibaba Cloud infrastructure through dynamic API discovery and execution. Supports 51,900+ cloud operations and includes OpenTofu integration for complete infrastructure lifecycle management.

An auto-generated MCP server that enables interaction with Google Cloud Private Catalog API, allowing users to manage private catalogs and services through natural language.

Hosted remote MCP for AI agent browser approval. Provides structured tools for page approval workflows, session management, and audit receipts.

Provides Multi-Agent Conversation Protocol access to Google Cloud TPU services, enabling management of Tensor Processing Units through natural language interactions with the Google TPU API.

An MCP (Multi-Agent Conversation Protocol) Server that provides a standardized interface for interacting with Google's Cloud Vision API, enabling AI agents to analyze images and extract visual information through natural language.

An MCP (Multi-Agent Conversation Protocol) Server that enables AI agents to interact with Google's Cloud Translation API for translating text between languages.

Enables deployment of a Model Context Protocol server with SSE transport on Google Cloud Run for integration with Antigravity.

Enables AI assistants and other MCP clients to launch and steer Cursor Cloud Agents on repositories or as repo-less research tasks, including model selection, mid-run follow-ups, cancellation, result retrieval, and run listing. Also exposes authentication checks and per-agent or per-run token usage and cost reporting.

MCP server that enables running and managing file-based AI Skills, Agents, and Flow workflows as DAGs, with tools for listing, executing, and resuming tasks via stdio JSON-RPC.

Allows AI agents to query and manage asynchronous jobs in the Agent Jobs system of the AI Connect platform, supporting operations like listing, creating, and canceling jobs.

Enables MCP-compatible AI agents to deploy applications to Google Cloud Run by providing tools for deploying code, listing services, and managing Google Cloud projects.

Multi-session browser MCP server that gives AI agents up to 15 fully-isolated browsers running in parallel. 36 tools including navigation, extraction, network intercept, stealth, and self-improvement. Each session has its own cookies, storage, and fingerprint so agents never collide.

Enables management of Verda Cloud GPU instances through Claude, allowing users to deploy spot instances, attach volumes, and monitor status. It supports automated workflows for checking availability and configuring instances with startup scripts.