"User interface design or related topics" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Ask your AI assistant a cost question. Get allocation, correlation, and explanation in one response. Costory connects Claude, Codex, or Cursor to normalized cost data across AWS, GCP, Azure, Datadog, OpenAI, and Anthropic. https://costory.io Free trial 14 days, 250 USD / month up to 10M Spend
AI infrastructure design agent. Describe your app in plain English; Riley designs, prices, and deploys AWS or GCP infrastructure with generated Terraform.
Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.
Which open models fit your GPU or Mac, measured. Plus model momentum and GPU rental prices.
Deploy HTML or dist/ to a live HTTPS URL. No account. Drop, MCP, or CLI.
AWS Cost Explorer cost, forecast, and anomaly reporting through user-connected IAM credentials.
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
Google Cloud Billing BigQuery export reporting through a user-connected service account.
Hosting for AI agents: publish a live website in one tool call, ephemeral or forever.
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.
AI first app deployment, unlike lovable or figma make, webslop.ai lets you or your ai of choice setup node.js apps or static sites in seconds. Designed be be the perfect place for you to deploy websites and apps super fast to the rest of the world and has a generous free tier.
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.
MCP Hub: AI service discovery, per-user OAuth, and multi-service workflow orchestration
- PuterOAuthcom.puter.mcp
Puter MCP lets your AI tools (Claude Code, Codex, or any other MCP-compatible client) interact with your Puter resources: managing files, publishing websites, deploying workers, and more.
InsideOut by Luther Systems — Agentic AI for cloud infrastructure design, setup, pricing, deployment, and active management. Generates Terraform for AWS and GCP. Hosted A2A agent — describe your application in plain language and InsideOut designs, costs, deploys, and manages production-ready cloud infrastructure.
Static-site hosting via MCP — ask your AI client to build a site (lands at .beam.page or your custom domain), then update it anytime, from anywhere, just by asking again.
Your AI Agent's Infrastructure Layer. Connect Claude, Copilot, Codex, or ChatGPT to 200+ managed open source services. Start databases, pipelines, and applications through natural language.
The official MCP server for Lizard (lizard.build). Ship a service, add Managed Postgres, Managed Redis or Managed Object Storage, read logs and metrics, set secrets, scale replicas and attach domains — in plain words. 33 tools over Streamable HTTP, OAuth 2.1; destructive tools require an explicit confirmation argument.
Tailscale device, route, DNS, key, user, and ACL management over MCP and CLI.
