Patchistry MCP server — AI agent commerce tools (list canvases, list patches, recommend builds, shipping, contact). Built with Model Context Protocol SDK. Deployable to Vercel free tier.
claude mcp add patchistry -- npx -y vercel{
"mcpServers": {
"patchistry": {
"command": "npx",
"args": ["-y", "vercel"]
}
}
}MCP Servers overview
# Patchistry MCP Server
[](https://registry.modelcontextprotocol.io/v0/servers?search=patchistry)
[](https://www.npmjs.com/package/patchistry-mcp-server)
[](https://smithery.ai/servers/@patchistry/patchistry-commerce)
[](https://www.wikidata.org/wiki/Q140179620)
[](https://modelcontextprotocol.io)
[](https://patchistry-mcp-server.vercel.app)
[](LICENSE)
> **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](https://registry.modelcontextprotocol.io/v0/servers?search=patchistry) — 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):
```json
{
"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:
```json
{
"mcpServers": {
"patchistry": {
"url": "https://patchistry-mcp-server.vercel.app/rpc"
}
}
}
```
### Use directly via HTTP
```bash
# 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
```bash
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)
1. Push the `mcp-server/` directory to a GitHub repo (separate from your theme repo is cleaner)
2. https://vercel.com/new → Import Git Repository → pick the mcp-server repo
3. Framework Preset → Other
4. Root Directory → `mcp-server` (if you pushed the parent repo)
5. Deploy
### Custom domain (recommended)
1. Vercel dashboard → your project → **Domains** → Add `mcp.patchistry.com`
2. Vercel shows you a DNS record to add
3. Your DNS provider (probably Shopify or wherever patchistry.com is registered) → add the CNAME record
4. Wait 5-30 min for DNS propagation
5. 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)
1. https://smithery.ai
2. Sign up → Submit Server
3. URL: `https://mcp.patchistry.com/.well-known/mcp.json`
4. Category: Commerce
5. 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:
1. Settings → Developer → MCP Servers → Add Server
2. URL: `https://mcp.patchistry.com/sse`
3. 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
```bash
cd mcp-server
npm install
npm start
```
Server runs at http://localhost:3000
Test with curl:
```bash
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:
```bash
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:
1. **The setup cost is one-time + free** (Vercel Hobby tier)
2. **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
3. **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.
What people ask about patchistry-mcp-server
What is patchistry/patchistry-mcp-server?
+
patchistry/patchistry-mcp-server is mcp servers for the Claude AI ecosystem. Patchistry MCP server — AI agent commerce tools (list canvases, list patches, recommend builds, shipping, contact). Built with Model Context Protocol SDK. Deployable to Vercel free tier. It has 0 GitHub stars and was last updated today.
How do I install patchistry-mcp-server?
+
You can install patchistry-mcp-server by cloning the repository (https://github.com/patchistry/patchistry-mcp-server) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is patchistry/patchistry-mcp-server safe to use?
+
patchistry/patchistry-mcp-server has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains patchistry/patchistry-mcp-server?
+
patchistry/patchistry-mcp-server is maintained by patchistry. The last recorded GitHub activity is from today, with 1 open issues.
Are there alternatives to patchistry-mcp-server?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
Deploy patchistry-mcp-server to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/patchistry-patchistry-mcp-server)<a href="https://claudewave.com/repo/patchistry-patchistry-mcp-server"><img src="https://claudewave.com/api/badge/patchistry-patchistry-mcp-server" alt="Featured on ClaudeWave: patchistry/patchistry-mcp-server" width="320" height="64" /></a>More MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
The fastest path to AI-powered full stack observability, even for lean teams.
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载,你的 AI 舆情监控助手与热点筛选工具!聚合多平台热点 + RSS 订阅,支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机,也支持接入 MCP 架构,赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker ,数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。