Open-source B2B and marketplace ecommerce; new stores include an MCP server for AI agents.
Shop MCP
概要
作者による説明(英語の原文)
Read-only Shopify catalogue and stock for LLM agents. Stdlib only, no dependencies.
PopNx MCPの3つの柱
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
- 利用者の声iレビューはまだありませんレビューは今後のステップで、アカウント機能と一緒に始まります
- 私たちの基本チェックi1項目中1項目に合格公開情報からチェック。コードはまだスキャンしていません
- 利用状況i未計測★ –
できること
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
- 接続方法: パソコンで動く
- トランスポート: stdio
- カテゴリ: ネットショップ・決済
- 入力が必要なもの:SHOPIFY_SHOP_DOMAIN, SHOPIFY_ADMIN_TOKEN
インストール
使っているAIアプリを選んで、設定をコピーしてください。
インストールの前に
- 基本チェック:1項目中1項目に合格
- あなたのパソコンで、あなたのユーザーと同じ権限(ファイル、ネットワーク、アプリ)で動きます。
- 自分で入力するもの:
SHOPIFY_SHOP_DOMAIN,SHOPIFY_ADMIN_TOKEN
「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
- PyPIPythonのuvのインストール(uvxコマンドに必要)
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"shop": {
"command": "uvx",
"args": [
"shop-mcp"
],
"env": {
"SHOPIFY_SHOP_DOMAIN": "your-value",
"SHOPIFY_ADMIN_TOKEN": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add shop --env SHOPIFY_SHOP_DOMAIN=your-value --env SHOPIFY_ADMIN_TOKEN=your-value -- uvx shop-mcp動かす前に、空欄の値を入力してください。
または、設定を自分でコピーする
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"shop": {
"command": "uvx",
"args": [
"shop-mcp"
],
"env": {
"SHOPIFY_SHOP_DOMAIN": "your-value",
"SHOPIFY_ADMIN_TOKEN": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
または、設定を自分でコピーする
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"shop": {
"type": "stdio",
"command": "uvx",
"args": [
"shop-mcp"
],
"env": {
"SHOPIFY_SHOP_DOMAIN": "your-value",
"SHOPIFY_ADMIN_TOKEN": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
自分で入力する値
- Your store domain, e.g. your-shop.myshopify.com
- Shopify Admin API access token (shpat_...) with read_products and read_inventory scopes
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
できること
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
基本チェックi
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
- ✓ 合格
作者とリポジトリが一致
レジストリ名は、リポジトリを所有するGitHubアカウント hello532 で確認済みです
- … 未チェック
今もメンテナンスされている
このリポジトリはまだGitHubから読み取っていません
- … 未チェック
ライセンスがある
このリポジトリはまだGitHubから読み取っていません
- – 対象外
エンドポイントが応答する
これはパソコンで動くため、インターネット上のエンドポイントはありません
- – 対象外
OAuthでサインイン
パソコンで動き、代わりにローカルの設定を使います
- … 未チェック
ツールの説明に隠れた指示がない
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
ネットショップ・決済のほかのサーバーとの比較i
- このカテゴリのほかの1754件のうち0%よりスターが多い
- このカテゴリのほかの1754件のうち37%より最近レジストリに公開
- 基本チェックの結果が、このカテゴリのほかの1754件のうち100%と同じかそれ以上
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
よくある質問
Shop MCPは安全ですか?
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
どんなキーやコードが必要ですか?
入力が必要なもの:SHOPIFY_SHOP_DOMAIN, SHOPIFY_ADMIN_TOKEN
パソコンで動きますか、それともクラウドですか?
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
今もメンテナンスされていますか?
GitHubリポジトリの最終更新は–、最新バージョン(1.0.1)がレジストリに届いたのは2 か月前です。
どのアプリで使えますか?
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにPython (uv)も必要です。
代わりに使えるものは?
同じカテゴリには:Spree Commerce: open-source B2B and marketplace ecommerce, Stripe MCP, MCP Cn Commerce
代わりの候補
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Stripe MCP
MCP server integrating with Stripe - tools for customers, products, payments, and more.
MCP Cn Commerce
8 read-only MCP platform entries; support is operation-specific; merchant live acceptance pending
作者のREADME
READMEを開く
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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/initializedhas noid, 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: trueand 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
| tool | answers |
|---|---|
search_products | "what do we sell that matches X" — identity and total stock |
get_product | one product in full, every variant with SKU, price, stock |
check_inventory | stock for a SKU per location: available, committed, on-hand |
low_stock_report | variants 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 1is a different query fromsku:"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
nullfor a variant that does not track inventory. Coerced to0, it appears in every restock report forever. Untracked and out-of-stock are different facts and stay different. - `scan_exhausted`.
low_stock_reportscans 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:
- The code read
SHOPIFY_SHOP; this README and the bundle manifest both told users to exportSHOPIFY_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. tools/listreturned[]until credentials existed, so a host saw an empty server and reported it broken — and the readable *no store is configured* message ontools/callwas 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 astaticmethod.--self-testwas 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.