mcpbeat

Ecommerce Prompts MCP Server

io.github.xpaysh/ecommerce-prompts-mcp
answering

Ecommerce Prompts MCP is answering right now. Last checked 6 min ago. It exposes 4 tools. Last commit 27 Jul 2026.

Free copy-and-run ChatGPT prompts for online stores: 924 prompts, 43 categories + 10 tasks.

Uptime history 40 hours of history
40 hours agonow
100.0%
Uptime 24h
91 of 91 checks
4
Tools
read from the server
448 ms
Response time
average over 24h
0
Stars
last commit 27 Jul 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.

run in your terminal
claude mcp add ecommerce-prompts-mcp --transport http https://prompts-mcp.xpay.sh/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "ecommerce-prompts-mcp": {
      "url": "https://prompts-mcp.xpay.sh/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.ecommerce-prompts-mcp]
url = "https://prompts-mcp.xpay.sh/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "ecommerce-prompts-mcp": {
      "url": "https://prompts-mcp.xpay.sh/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "ecommerce-prompts-mcp": {
      "url": "https://prompts-mcp.xpay.sh/mcp"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

collection
get_collection_prompts
Get all copy-and-run ChatGPT prompts in one collection (e.g. slug "skincare" or "email-marketing"). Each prompt includes the full fill-in-the-blank template body, its variables, the recommended AI model, and the source page URL on xpay.sh/prompts.
collections
list_collections
List every prompt collection in the free ecommerce ChatGPT prompt library at xpay.sh/prompts — 43 store-type categories (skincare, coffee, apparel, …) and 10 marketing-task sets (email, SEO, product descriptions, ads, …). Returns each collection's slug, label, kind, prompt count, and page URL.
prompt
get_prompt
Get one prompt by its id, with the full template body, variables, recommended model, pro tip, and source URL.
prompts
search_prompts
Search the whole ecommerce prompt library by keyword (matches prompt title, summary, body, and collection). Returns matching prompts with their collection and source URL. Use to find prompts for a specific store type or marketing job.

Endpoints

URLTransportStateLatencyChecked
https://prompts-mcp.xpay.sh/mcp streamable-http answering 402 ms 6 min ago

Ecommerce Prompts MCP — questions

Answers built from our own checks of this server.

What can Ecommerce Prompts MCP do?
It exposes 4 tools, read directly from the server on our last check. Among them: get_collection_prompts, get_prompt, list_collections, search_prompts. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Ecommerce Prompts MCP working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 448 ms. The bar chart above shows every period we have measured.
How do I connect Ecommerce Prompts MCP?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Ecommerce Prompts MCP need an API key?
No. Ecommerce Prompts MCP completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Ecommerce Prompts MCP?
It answers our handshake in 448 ms on average, which is faster than 27% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Ecommerce Prompts MCP open source?
Yes — it is published under the MIT licence, written in JavaScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.