"Creating an application" matching MCP connectors:
Matching Connector Tools:
Control Plane (controlplane.com): deploy and operate workloads across AWS, GCP, Azure, and more.
Deploy a live web app from one sentence. build_app + poll to a public HTTPS URL you own.
Hosted MCP for creating, checking, deploying, and hosting static sites for AI agents.
No-KYC offshore hosting an AI agent runs end-to-end: no-email signup, crypto, domain, VPS, deploy.
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.
AI data-center design engine: size, validate & lay out Rubin-era data centers. Korea live.
Read-only Mac mini AI operator setup offer with queue, pricing, and buyer-route tools.
An MCP server that let you interact with Cycloid.io Internal Development Portal and Platform
Cloudflare Workers MCP server: ai-cost-optimizer
Cloudflare Workers MCP server: ai-provider-status
Cloudflare Workers MCP server: ai-prompt-optimizer
Cloudflare Workers MCP server: ai-rate-limit-tracker
Cloudflare Workers MCP server: ai-model-router
Cloudflare Workers MCP server: ai-agent-scratchpad
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
The Telnyx MCP server is an official implementation of the Model Context Protocol that enables AI clients (like Claude Desktop, Cursor, and OpenAI Agents) to interact with Telnyx's telephony, messaging, and AI assistant APIs. It provides comprehensive capabilities including making and managing phone calls, sending SMS/MMS messages, purchasing and configuring phone numbers, creating AI assistants with custom instructions, managing cloud storage buckets, scraping and embedding website content, and handling integration secrets. The server exists as both a local implementation and a remotely hosted version, allowing developers to integrate real-world communication infrastructure directly into AI applications.
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.
Cloudflare Workers MCP server: ai-crawler-policy