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Shop MCP

de hello532versión 1.0.1i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.hello532/shop-mcp

Instalar

Resumen

Descripción del creador (original en inglés)

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

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Tiendas en línea y pagos
  • Debes completar: SHOPIFY_SHOP_DOMAIN, SHOPIFY_ADMIN_TOKEN

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Los valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

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

Ejecuta esto en tu terminal

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

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

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

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

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

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Valores que debes completar

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

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub hello532, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Tiendas en línea y pagosi

  • Más estrellas que el 0% de los otros 1754 servidores de esta categoría
  • Publicado en el registro más recientemente que el 37% de los otros 1754 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 1754 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Shop MCP?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

Debes completar: SHOPIFY_SHOP_DOMAIN, SHOPIFY_ADMIN_TOKEN

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (1.0.1) llegó al registro hace 2 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spree Commerce: open-source B2B and marketplace ecommerce, Stripe MCP, MCP Cn Commerce

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Stripe MCP

de stripe

MCP server integrating with Stripe - tools for customers, products, payments, and more.

Se ejecuta en la nube★ 2043MITActualizado hace 12 meses
Instalar

MCP Cn Commerce

de TonyWang-hub

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

Se ejecuta en tu computadora★ 96MITActualizado hace 28 días
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

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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