"Compare all differences between two source code folders, including binary files" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Run a GPU job under a hard dollar cap and collect the files it writes.
Simulate cloud architectures before provisioning. 9 free demo tools; an API key unlocks all 62.
Your own cloud computer run by an AI agent: signed-in browser, its own email, files, long jobs.
Publish and manage websites on HostingFor.AI: files, DNS, MySQL, SSL and site checks.
Upfling provides a zero-configuration environment for hosting static websites. You can upload individual HTML, CSS, and JS files or drag an entire folder to receive a live website with SSL on a shareable URL in seconds. It eliminates the need for complex setup or server configuration, focusing on rapid deployment for static web projects. You can also upload documents like PDFs and add password protection. All of this can be done using the API or MCPs from AI chat platforms.
Deploy static sites from AI agents: deploy_site publishes files and returns a live URL in seconds.
Compare LLM API and cloud compute pricing, estimate workload costs, pick a model within budget.
No-KYC VPS + per-second code sandboxes AI agents run over MCP — 75 tools, SDK, pay BTC/XMR/USDC/USDT
Publish HTML, static sites and files to <slug>.chorus.host, and deploy Cloudflare Workers backends to <slug>.worker.chorus.host, from any agent.
Publish static sites to permanent URLs in one call. No account, email code, or claim link.
Hourly cloud GPU prices from 60+ providers: find, compare, cost and track GPUs.
Search and compare dedicated, VPS, GPU and cloud server plans by specs, location and price.
Compare live GPU cloud rental prices and match workloads to the cheapest provider.
Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.
Zero-Ops deploy of a private AI workspace to your own VPS — from your AI chat. Free and open-source.
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.
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
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.
