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PopNx MCPMCP servers for people who use AI · explained in plain words

Shop MCP

by hello532version 1.0.1i★ –iRuns on your computer
Registry nameio.github.hello532/shop-mcp

Install

Overview

Description from the maker (original English)

Read-only Shopify catalogue and stock for LLM agents. Stdlib only, no dependencies.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Online shops & payments
  • You need to fill in: SHOPIFY_SHOP_DOMAIN, SHOPIFY_ADMIN_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: SHOPIFY_SHOP_DOMAIN, SHOPIFY_ADMIN_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "shop": {
      "command": "uvx",
      "args": [
        "shop-mcp"
      ],
      "env": {
        "SHOPIFY_SHOP_DOMAIN": "your-value",
        "SHOPIFY_ADMIN_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add shop --env SHOPIFY_SHOP_DOMAIN=your-value --env SHOPIFY_ADMIN_TOKEN=your-value -- uvx shop-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "shop": {
      "command": "uvx",
      "args": [
        "shop-mcp"
      ],
      "env": {
        "SHOPIFY_SHOP_DOMAIN": "your-value",
        "SHOPIFY_ADMIN_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "shop": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "shop-mcp"
      ],
      "env": {
        "SHOPIFY_SHOP_DOMAIN": "your-value",
        "SHOPIFY_ADMIN_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • SHOPIFY_SHOP_DOMAIN required env
    Your store domain, e.g. your-shop.myshopify.com
  • SHOPIFY_ADMIN_TOKEN secret required env
    Shopify Admin API access token (shpat_...) with read_products and read_inventory scopes

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account hello532, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Online shops & paymentsi

  • More stars than 0% of the other 1755 servers in this category
  • Published to the registry more recently than 37% of the other 1755 servers in this category
  • Basic checks equal to or better than 100% of the other 1755 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Shop MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: SHOPIFY_SHOP_DOMAIN, SHOPIFY_ADMIN_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spree Commerce: open-source B2B and marketplace ecommerce, Stripe MCP, MCP Cn Commerce

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Stripe MCP

by stripe

Stripe’s official server lets AI view and manage customers, products, payments and invoices. Connect to Stripe’s cloud and sign in with OAuth.

Runs in the cloud★ 2,043MITUpdated 12 months ago
Install

MCP Cn Commerce

by TonyWang-hub

8 read-only MCP platform entries; support is operation-specific; merchant live acceptance pending

Runs on your computer★ 96MITUpdated 28 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

shop-mcp

A Model Context Protocol server that lets an LLM agent answer questions about a Shopify store's catalogue and stock — over stdio, from a single file, using only the Python standard library.

No MCP SDK. No requests. No GraphQL client. python3 shop_mcp.py is the whole install.

$ python3 shop_mcp.py --self-test

all green: 200 assertions

That command needs no credentials and no network. It is the point of the repo: the protocol layer and the tool layer are both exercised for real, because the Shopify transport is replaced at a seam rather than mocked at the boundary.

Installed from PyPI, the same command reports 183, and the seventeen-assertion difference is a packaging fact rather than a weaker check:

$ uvx --from shop-mcp shop-mcp --self-test

all green: 183 assertions

manifest.json (5 assertions), llms-install.md (11) and README.md (1) are deliberately not shipped into site-packages — the manifest's entry_point names a bundle path that does not exist in an installed copy, so packaging it would make a correct install fail. All three groups *skip* rather than fail when their file is absent, which is why the count moves and the verdict does not. Clone the repo to run all 200.

This server is the worked example, not a product line. I build the same shape — a stdio MCP server over data you already have, with a self-test suite and proof that the suite catches injected defects — as a fixed-price job: hello532.github.io/services.html, or coolun.337@gmail.com. Nothing on this page needs paying for; issues and PRs are welcome either way.

Why write the protocol by hand

Because the failure modes of a stdio MCP server are all invisible locally and all fatal in a host. Each one below is a real defect this file is built to not have, and each has an assertion naming it:

  • A diagnostic on stdout. One stray print() corrupts the client's next parse. Nothing looks wrong when you run the server yourself. Every diagnostic here goes to stderr, and a test asserts stdout stays byte-empty across a full session.
  • Answering a notification. notifications/initialized has no id, so a reply to it is a message with no pending request. Strict clients treat that as a protocol violation and drop the connection.
  • `id: 0` read as a notification. if msg.get("id") is falsy for zero, so a client that numbers requests from zero has its first call silently dropped. Presence, not truthiness.
  • Tool failures sent as JSON-RPC errors. A JSON-RPC error is for a malformed *request*. A tool that ran and failed must return a normal result with isError: true and the reason as text — otherwise the model never sees the message and cannot correct its own arguments.
  • Echoing an unknown `protocolVersion`. If a client asks for a revision the server does not know, agreeing to it leaves both sides believing a spec is in use that neither implements. This falls back to 2025-03-26, the spec's own default, and says so.
  • Pretty-printing the reply. Indented JSON contains newlines, and newline is the frame delimiter. One message becomes several broken ones.

Tools

toolanswers
search_products"what do we sell that matches X" — identity and total stock
get_productone product in full, every variant with SKU, price, stock
check_inventorystock for a SKU per location: available, committed, on-hand
low_stock_reportvariants at or below a threshold, lowest first

Four tools, chosen because each answers a question a shop owner actually asks. A wider surface would be easy and would make the model worse at picking.

The correctness that is not protocol

Three of the assertions cover mistakes that produce *confidently wrong answers*, which are worse than errors:

  • An unquoted SKU. sku:SH 1 is a different query from sku:"SH 1". The first silently matches the wrong variants and reports their stock as if it were yours. SKUs are quoted and internal quotes escaped.
  • A null quantity read as zero. Shopify returns null for a variant that does not track inventory. Coerced to 0, it appears in every restock report forever. Untracked and out-of-stock are different facts and stay different.
  • `scan_exhausted`. low_stock_report scans a bounded number of variants. If the scan hit its limit, "nothing is low" is indistinguishable from "I did not look far enough" — so the result says which it was, and the model can say so too.

Plus the transport rules any Shopify client needs and most skip: a THROTTLED GraphQL response is a *200* and must be retried, not read as success; a 401 must *not* be retried, because waiting will not fix a bad token; backoff must actually grow.

Verified, and not verified

Verified, by the self-test, on every run: 200 assertions covering the handshake, framing, notification handling, id presence, error mapping, schema strictness, retry and backoff policy, SKU quoting, null-quantity handling, threshold boundaries, and scan exhaustion. Wire shapes were taken from the official mcp Python SDK's types.py (LATEST_PROTOCOL_VERSION, CallToolResult, ServerCapabilities), not from memory.

Not verified: this has never been run against a live Shopify store. There is no credential in this repo and no recorded API session. The Shopify Admin GraphQL queries are written to the documented schema, and every code path around them is tested against a transport double — but the round trip against a real shop is unproven, and the test doubles are my model of Shopify's behaviour, not Shopify.

That distinction is the honest one, and it is the same line drawn in gpt-ads-feed. A README that blurs it is asking to be trusted on the wrong thing.

Assertions that can fail

mutation_test.sh injects known defects into *copies* of the source and asserts --self-test goes red for each, naming which assertion caught it. It also flags a NO-OP EDIT when a search pattern has gone stale — because a mutation that does not apply tests nothing while looking green, which is the failure mode that makes a suite worse than useless: trusted and empty.

It found real weaknesses in the suite on its first run, and all three were the same shape: the defect *was* detected, but by an exception rather than by a named assertion, so the message explained nothing and every assertion after it never ran.

Two were an unhandled KeyError: 'result', from indexing a reply that the defect had turned into a JSON-RPC error. Fixed by routing result access through a shape guard, so the same defect now reports a tool crash returns a result, so the loop survives: reply is a JSON-RPC error {'code': -32603, ...} and the three following assertions each still report their own verdict.

The third was a bare setup call — S.Tools(c).search_products(...), present only to make the assertion below it meaningful. When the throttle branch was disabled it raised, aborting the test before that assertion ran. Fixed with completes(), the exact inverse of raises(): the defect now reports a 200-with-THROTTLED is survivable, not a hard failure: raised ShopifyError: Throttled [THROTTLED], naming the rule and keeping the cause.

Three more defects surfaced only when the server was packaged as an .mcpb bundle and launched the way a host launches it, which no test had ever done:

  1. The code read SHOPIFY_SHOP; this README and the bundle manifest both told users to export SHOPIFY_SHOP_DOMAIN. Anyone following the docs got a permanently unconfigured server. Every one of the 180 assertions passed, because none of them compared the code against the docs.
  2. tools/list returned [] until credentials existed, so a host saw an empty server and reported it broken — and the readable *no store is configured* message on tools/call was unreachable, since nothing was listed to call. The docstring above that code stated the opposite requirement, and the test below it asserted the defect: eq(tools, [], ...). The list never depended on credentials; descriptors() touched no instance state at all, and is now a staticmethod.
  3. --self-test was advertised in the module docstring but crashed inside the bundle, which shipped only the server file. The bundle now ships the suite.

The first fix then broke the harness in a way worth recording. The new assertion failed when README.md was absent, and the harness copied only two files, so it fired inside *every* mutant. The run still printed 17 caught, but six of those were credited to README.md is present instead of their own labels: six real assertions could have been dead with the suite still green. A missing README is a packaging fact, not a code defect. The load-bearing comparison now runs against the module docstring, which travels with the source, and the harness copies the README so the cross-check is real.

All 23 mutations are caught by an assertion that names what broke, and each is credited to its own label.

Use it

Installed from PyPI — nothing to clone:

export SHOPIFY_SHOP_DOMAIN=your-shop.myshopify.com

export SHOPIFY_ADMIN_TOKEN=shpat_... # read_products, read_inventory uvx shop-mcp # or: pip install shop-mcp && shop-mcp

Claude Desktop / any MCP host:

{

"mcpServers": { "shop": { "command": "uvx", "args": ["shop-mcp"], "env": { "SHOPIFY_SHOP_DOMAIN": "your-shop.myshopify.com", "SHOPIFY_ADMIN_TOKEN": "shpat_..." } } } }

From a clone instead, when you want to read the source before running it — which is the point of a single dependency-free file, and the only way to get the full 200-assertion suite:

python3 shop_mcp.py --self-test    # 200 here, 183 installed; see above

python3 shop_mcp.py

{ "command": "python3", "args": ["/absolute/path/to/shop_mcp.py"] }

With no credentials set it still completes a handshake and serves tools/list, then returns isError with the missing variable named. A host that cannot read tools/list reports "broken server" and sends you looking in the wrong place.

MIT.

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