vstoi_can a day ago

Hi HN,

I’m one of the founders of MCP-Cloud. We host Model Context Protocol (MCP) servers so you can add tool-calling abilities to LLM agents without touching Docker, Kubernetes, or cloud credentials.

Why we built it

The MCP spec (open-sourced by Anthropic) standardises how an AI agent calls external tools, but you still have to run an MCP server for every tool you want. That means containers, TLS, auth, scaling, etc.—work most AI/automation devs don’t want to handle.

What it does

- 50+ ready-made templates (GitHub, Slack, Postgres, Notion, etc.) - < 60 s deploy – click Deploy, get a live HTTPS endpoint - JWT-secured + SSE streaming out of the box

Copy the code snippet into Claude Desktop, n8n, Cursor, VS Code, Windsurf —or any client that speaks HTTP + SSE

Ask HN:

Does this remove enough friction to make MCP useful in your projects?

Which templates/workflows should we add next?

Thoughts on the pricing model (usage-based after the free tier)?

We’d love feedback—from “this solved my problem” to “here’s why I wouldn’t use it.” Thanks for reading and for any comments!

adrianb74 18 hours ago

This product is truly a gem. I'm non-technical, and I love the ease of use. Everything falls into place. It took me two minutes to install my first MCP server. What an amazing product.

alessandrovz 14 hours ago

Fantastic tool to explore and run MCP servers!

wrkode 11 hours ago

Love it! neat and intuitive