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LabelChop MCP Server

answering

LabelChop MCP Server is answering right now. Last checked 14 min ago. 47 installs a week from npm. It exposes 3 tools.

AI tools for MyPost A4 labels, 4x6 thermal printers and LabelChop resources.

The linked repository no longer exists on GitHub — it was deleted or made private.

Installs per day peak 9 · avg 4 · +21% w/w
a month agotoday
Uptime history 91 days of history · worst day 7%
91 days agonow
44.0%
Uptime 24h
40 of 91 checks
3
Tools
read from the server
279 ms
Response time
average over 24h
47
Installs / week
npm and PyPI

LabelChop MCP Server does not always answer

Over the last week it answered 45.8% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.

run in your terminal
claude mcp add labelchop-mcp-server --transport http https://labelchop.com/api/mcp
Settings → Connectors → Add custom connector, then paste this address
https://labelchop.com/api/mcp
~/.codex/config.toml
[mcp_servers.labelchop-mcp-server]
url = "https://labelchop.com/api/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "labelchop-mcp-server": {
      "url": "https://labelchop.com/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "labelchop-mcp-server": {
      "type": "http",
      "url": "https://labelchop.com/api/mcp"
    }
  }
}

Available tools 3

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

diagnose
diagnose_shipping_label_workflow
Diagnose an ecommerce seller shipping-label workflow and recommend whether to use LabelChop or the free A4-to-4x6 converter.
labelchop
find_labelchop_resources
Find the best LabelChop resource links for A4 shipping labels, 4x6 thermal printing, MyPost Business, Australia Post, eBay, Shopify, Etsy, or label troubleshooting.
recommend
recommend_label_printing_setup
Recommend a practical 4x6 thermal-label printing setup for Australian ecommerce sellers.

Endpoints

URLTransportStateLatencyChecked
https://labelchop.com/api/mcp streamable-http answering 227 ms 14 min ago

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LabelChop MCP Server — questions

Answers built from our own checks of this server.

What can LabelChop MCP Server do?
It exposes 3 tools, read directly from the server on our last check. Among them: diagnose_shipping_label_workflow, find_labelchop_resources, recommend_label_printing_setup. 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 LabelChop MCP Server working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 40 of 91 checks got a reply (44.0%), average response time 279 ms. The bar chart above shows every period we have measured.
Is LabelChop MCP Server still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect LabelChop MCP Server?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does LabelChop MCP Server need an API key?
No. LabelChop MCP Server completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is LabelChop MCP Server?
It answers our handshake in 279 ms on average, which is faster than 51% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use LabelChop MCP Server?
The npm package labelchop-mcp-server was installed 47 times in the last week. Week over week that is +21%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.