Patchistry

Patchistry

Patchistry commerce tools — modular hats, patches, curated builds (bachelorette/wedding/dads/festival), shipping, contact. AI agents can query the live Patchistry catalog in real-time

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README

Patchistry MCP Server

Official MCP Registry npm Smithery Wikidata MCP Vercel 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 — 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)

  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

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:

  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.

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