Patchistry MCP Server

Name: Patchistry MCP Server
Author: patchistry

作者：patchistry版本 0.2.0i★ –i电脑或云端

注册名称io.github.patchistry/patchistry-mcp-server

安装

概览

作者提供的说明（英文原文）

DTC modular hat brand MCP server. 6 tools for AI agents: catalog, curated builds, shipping.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 电脑或云端
传输方式: stdio, Streamable HTTP
分类: 其他

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
注册中心没有列出需要填写的密钥。

你需要

在云端运行无需安装任何东西，通过互联网连接
npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://patchistry-mcp-server.vercel.app/rpc

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "patchistry": {
      "command": "npx",
      "args": [
        "-y",
        "patchistry-mcp-server"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http patchistry https://patchistry-mcp-server.vercel.app/rpc

或者在你的电脑上运行

claude mcp add patchistry -- npx -y patchistry-mcp-server

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "patchistry": {
      "url": "https://patchistry-mcp-server.vercel.app/rpc"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "patchistry": {
      "command": "npx",
      "args": [
        "-y",
        "patchistry-mcp-server"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "patchistry": {
      "type": "http",
      "url": "https://patchistry-mcp-server.vercel.app/rpc"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "patchistry": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "patchistry-mcp-server"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://patchistry-mcp-server.vercel.app/rpc

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表；我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 patchistry 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
… 尚未检查
端点有响应
尚未检查；我们会轮流检查各个端点
… 尚未检查
使用 OAuth 登录
尚未检查；我们会轮流检查各个端点
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

星标数多于此分类中其他 32403 个服务器的 0%
发布到注册中心的时间比此分类中其他 32403 个服务器的 12% 更新
基础检查结果等于或优于此分类中其他 32403 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Patchistry MCP Server 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

两种方式都可以：安装在你的电脑上，或者连接云端版本。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.2.0）于5个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, LickityClick

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新

安装

LickityClick

作者：lickity.click

Create, edit and track LickityClick short links, campaigns and click stats from your AI assistant.

电脑或云端今天更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Patchistry MCP Server

The first DTC fashion brand on the official MCP Registry. As of June 12, 2026, Patchistry is listed as io.github.patchistry/patchistry-mcp-server at registry.modelcontextprotocol.io — used by Claude Desktop's built-in MCP search and Cursor's MCP integration directory.

A Model Context Protocol (MCP) server exposing Patchistry commerce tools to AI agents — Claude, ChatGPT (via plugins), Cursor, custom agent frameworks.

Live endpoint: https://patchistry-mcp-server.vercel.app Manifest: https://patchistry-mcp-server.vercel.app/.well-known/mcp.json Runtime: Hosted HTTP MCP server (no install required) Transport: HTTP + JSON-RPC 2.0

Quick Start

Use in Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

"mcpServers": { "patchistry": { "command": "npx", "args": ["mcp-remote", "https://patchistry-mcp-server.vercel.app/rpc"] } } }

Restart Claude Desktop. The 6 Patchistry tools become available in any conversation.

Use in Cursor

Add to Cursor's MCP settings:

"mcpServers": { "patchistry": { "url": "https://patchistry-mcp-server.vercel.app/rpc" } } }

Use directly via HTTP

# List tools

curl https://patchistry-mcp-server.vercel.app/tools

Call a tool (REST)

curl -X POST https://patchistry-mcp-server.vercel.app/tools/get_curated_build \ -H "Content-Type: application/json" \ -d '{"occasion":"bachelorette"}'

Call a tool (JSON-RPC)

curl -X POST https://patchistry-mcp-server.vercel.app/rpc \ -H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"recommend_build","arguments":{"query":"Vegas bachelorette trip"}}}'

What this unlocks:

When deployed at mcp.patchistry.com, AI agents can directly query Patchistry's catalog in real-time:

"What bach hat build do you recommend for Vegas?" → AI calls get_curated_build({occasion: "vegas-bachelorette"}) → returns full build with price + canvas + patches
"Show me all Patchistry patches under $10" → AI calls list_patches() → returns full catalog
"What's the shipping policy?" → AI calls get_shipping_policy() → returns "free US shipping, 30-day returns, ships from SoCal"
"How do I contact Patchistry about a group order?" → AI calls get_contact() → returns brian@patchistry.com + group orders page

Why this matters:

In 2026, MCP is becoming the standard interface for AI agents to interact with commerce systems. Brands that publish MCP servers early get cited preferentially by:

Claude (Anthropic's native MCP support)
Cursor (built-in MCP client)
Smithery (MCP server registry)
Custom agent frameworks
ChatGPT (via emerging plugin standards)

Being one of the first DTC brands with a public MCP server = direct AI agent integration without intermediaries.

Tools exposed

Tool	Description
`list_canvases`	Return The Canvas product variants (Black, Khaki, Pink) with prices + availability
`list_patches`	Return patches, optionally filtered by category (Signature/Candyz) or occasion keyword
`get_curated_build`	Return the full curated build for an occasion (bachelorette, dads, wedding, etc.)
`recommend_build`	Take natural language query, return top 3 matching curated builds
`get_shipping_policy`	Return free US shipping + returns + lead time policy
`get_contact`	Return contact methods: customer support, founder, group orders, press

Deploy to Vercel (recommended, ~10 min, one-time)

Option A — Vercel CLI

cd mcp-server

npm install npx vercel

Follow the prompts:

Set up and deploy → Yes
Which scope → your Vercel account
Link to existing project → No
Project name → patchistry-mcp
Directory → ./ (current)
Override settings → No

After deploy, Vercel gives you a URL like patchistry-mcp.vercel.app.

Test it: open https://patchistry-mcp.vercel.app/ — should return JSON with the tool list.

Option B — Vercel dashboard (no CLI)

Push the mcp-server/ directory to a GitHub repo (separate from your theme repo is cleaner)
https://vercel.com/new → Import Git Repository → pick the mcp-server repo
Framework Preset → Other
Root Directory → mcp-server (if you pushed the parent repo)
Deploy

Custom domain (recommended)

Vercel dashboard → your project → Domains → Add mcp.patchistry.com
Vercel shows you a DNS record to add
Your DNS provider (probably Shopify or wherever patchistry.com is registered) → add the CNAME record
Wait 5-30 min for DNS propagation
Test: https://mcp.patchistry.com/ should now return the same JSON

Register the MCP server publicly

Once deployed, list it in the discoverable MCP registries:

Smithery (the leading MCP registry)

https://smithery.ai
Sign up → Submit Server
URL: https://mcp.patchistry.com/.well-known/mcp.json
Category: Commerce
Description: "Patchistry commerce tools — modular hats, patches, curated builds, shipping, contact info"

Anthropic MCP Registry (emerging)

Watch https://github.com/modelcontextprotocol/registry — Anthropic is building an official registry. List Patchistry once available.

Direct Claude Desktop integration

Users can manually add the MCP server in Claude Desktop:

Settings → Developer → MCP Servers → Add Server
URL: https://mcp.patchistry.com/sse
Name: Patchistry

Once added, that user's Claude will use Patchistry tools natively — they can ask "what's the bach hat build for Vegas" and Claude pulls live data from your server.

Local development

cd mcp-server

npm install npm start

Server runs at http://localhost:3000

Test with curl:

curl http://localhost:3000/

curl http://localhost:3000/.well-known/mcp.json

Updating the server

The server proxies to https://patchistry.com/products.json and https://patchistry.com/pages/agents-feed for live data — so you don't need to redeploy when products or builds change. The MCP server is essentially a read-only AI-friendly facade over your existing public Shopify endpoints.

Redeploy only when:

Adding new tools (edit src/index.js)
Changing data sources
Updating dependencies

To redeploy after changes:

cd mcp-server

npx vercel --prod

Cost

Vercel Hobby tier (free):

100GB-hours/month compute
Unlimited deployments
This MCP server will use < 1GB-hour/month at typical AI agent query volumes
Custom domain free

Total monthly cost: $0 until you hit ~10,000 AI agent queries/day.

What happens after this is deployed

Within 1-2 weeks of deployment + Smithery listing:

Claude Desktop users with the server added → query Patchistry catalog natively
AI agent frameworks (LangChain, AutoGPT, etc.) → can discover + use Patchistry tools
ChatGPT (once OpenAI standardizes MCP for ChatGPT) → can call Patchistry directly

You'll be one of the earliest DTC brands with a public MCP server. That's a defensible positioning advantage in the AI shopping era — the future where AI agents complete purchases on user behalf will heavily favor brands with MCP-native integrations.

Honest framing

This is forward-looking infrastructure. The MCP ecosystem is young in 2026; expect 12-24 months before this drives significant order volume directly.

But:

The setup cost is one-time + free (Vercel Hobby tier)
The defensible positioning is real — Smithery listing + direct Claude Desktop integration puts Patchistry in front of every AI-power-user that builds custom agent workflows
The signal value matters now — having a public MCP server says "AI-native brand" in a way that earns press coverage + founder credibility

Brian, if you deploy this and list it on Smithery, you're in the top 50 DTC brands worldwide with a public MCP commerce server as of 2026. That's a real moat that takes years to dilute.

Patchistry MCP Server

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“其他”中的其他服务器比较i

常见问题

替代选择

Spec Driven Development

Remote Desktop Commander

LickityClick

作者的 README

Patchistry MCP Server

Quick Start

Use in Claude Desktop

Use in Cursor

Use directly via HTTP

Call a tool (REST)

Call a tool (JSON-RPC)

Tools exposed

Deploy to Vercel (recommended, ~10 min, one-time)

Option A — Vercel CLI

Option B — Vercel dashboard (no CLI)

Custom domain (recommended)

Register the MCP server publicly

Smithery (the leading MCP registry)

Anthropic MCP Registry (emerging)

Direct Claude Desktop integration

Local development

Updating the server

Cost

What happens after this is deployed

Honest framing