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MCP server · Science

Pancake Pos MCP

Model Context Protocol (MCP) server wrapping the Pancake POS REST API, enabling AI assistants like Claude to manage Vietnamese e-commerce POS operations with 23 specialized tools and 7 reference resources.

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Scored 5 months ago · breakdown

About Pancake Pos MCP

Pancake Pos MCP is an MCP server in the Science category: model Context Protocol (MCP) server wrapping the Pancake POS REST API, enabling AI assistants like Claude to manage Vietnamese e-commerce POS operations with 23 specialized tools and 7 reference resources.

Install

From source
git clone https://github.com/nguyennguyenit/pancake-pos-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (4)

manage_customersCustomer CRUD, reward points, transaction history

Parameters not published.

manage_inventoryInventory reports filtered by warehouse, category, supplier

Parameters not published.

manage_ordersCreate, read, update, delete, print, ship, manage status; `batch_update` patches up to 50 orders/call

Parameters not published.

manage_productsProduct catalog with variations and pricing

Parameters not published.

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README

Pancake POS MCP

Model Context Protocol (MCP) server wrapping the Pancake POS REST API, enabling AI assistants like Claude to manage Vietnamese e-commerce POS operations with 24 specialized tools and 7 reference resources.

Overview

Pancake POS MCP exposes the Pancake POS API (https://pos.pages.fm/api/v1) as Model Context Protocol tools, allowing Claude and other AI assistants to automate POS management across:

  • Core POS: Orders, Products, Customers, Inventory
  • Supply Chain: Warehouses, Suppliers, Purchases, Transfers, Stocktaking
  • Sales: Returns, Exchanges, Combos, Promotions, Vouchers
  • CRM: Contacts, Deals, Activities
  • Multi-Channel: eCommerce (Shopee/Lazada/TikTok), Livestream Commerce
  • Operations: Employees, Webhooks, Analytics, Shop Info, Address Lookup

Prerequisites

  • Bun (runtime) — install from https://bun.sh (curl -fsSL https://bun.sh/install | bash)
  • Pancake POS API Key + Shop ID — see Getting Pancake POS credentials below. Note: this is the Pancake POS (e-commerce / inventory) API, not the Pancake user/social-inbox API — different products, different keys.
  • Node.js 18+ (optional, for development tooling)

Quick Start

Get from zero to a working MCP server in ~5 minutes:

# 1. Clone the repo
git clone https://github.com/nguyennguyenit/pancake-pos-mcp.git
cd pancake-pos-mcp

# 2. Install dependencies
bun install

# 3. Configure credentials
cp .env.example .env
# Open .env and fill in PANCAKE_POS_API_KEY + PANCAKE_POS_SHOP_ID
# (See "Getting Pancake POS credentials" section below)

# 4. Verify it runs
bun run src/index.ts
# Expected output:
#   [pancake-pos-mcp] Server started on stdio transport
# Press Ctrl+C to stop.

# 5. Connect Claude Desktop — see "Stdio Transport" section below

If step 4 prints an error, double-check your .env values and that you ran bun install. Common issues are listed in Troubleshooting.

Getting Pancake POS credentials

⚠️ Pancake POS ≠ Pancake (social inbox). This MCP only works with the Pancake POS product at https://pos.pages.fm — the e-commerce / inventory / order-management system. The Pancake user/inbox API at pages.fm is a different product with a different API key and is not supported here.

You need two values from your Pancake POS account:

  1. PANCAKE_POS_SHOP_ID — the numeric ID of your shop
  2. PANCAKE_POS_API_KEY — your Pancake POS API token
    • Pancake POS Dashboard → Cài đặt (Settings) → API → Generate API key
    • Copy the key immediately — it is only shown once

Keep both values secret. Never commit them to git. The .gitignore already excludes .env and .dev.vars.

Configuration

Required (set in Quick Start):

Variable Purpose
PANCAKE_POS_API_KEY Pancake POS API token
PANCAKE_POS_SHOP_ID Numeric shop ID

Optional:

Variable Default Purpose
PANCAKE_POS_BASE_URL https://pos.pages.fm/api/v1 Override API endpoint
PORT 3000 HTTP transport port
MCP_AUTH_TOKEN (none) Bearer token for HTTP/Workers auth

Usage

Stdio Transport (Claude Desktop)

Default mode. Add to Claude Desktop config claude_desktop_config.json:

{
  "mcpServers": {
    "pancake-pos": {
      "command": "bun",
      "args": ["run", "/path/to/pancake-pos-mcp/src/index.ts"]
    }
  }
}

HTTP Transport (Remote Access)

Enable Streamable HTTP transport:

bun run src/index.ts --http

Server starts at http://localhost:3000/mcp. Health check: http://localhost:3000/health

With authentication (recommended for production):

# .env
PORT=3000
MCP_AUTH_TOKEN=your_secret_token

# Client usage
curl -H "Authorization: Bearer your_secret_token" http://localhost:3000/mcp

Cloudflare Workers (Serverless Edge)

Deploy globally on Cloudflare Workers for low-latency access from anywhere:

# Local development (uses .dev.vars for secrets)
cp .dev.vars.example .dev.vars
# Edit .dev.vars with your credentials
bun run dev:workers
# Runs at http://localhost:8787

# Deploy to Cloudflare
wrangler login
bun run deploy

# Set production secrets
wrangler secret put PANCAKE_POS_API_KEY
wrangler secret put PANCAKE_POS_SHOP_ID
wrangler secret put MCP_AUTH_TOKEN

Workers URL: https://pancake-pos-mcp.<your-subdomain>.workers.dev/mcp

Connect Claude Desktop via mcp-remote:

{
  "mcpServers": {
    "pancake-pos": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://pancake-pos-mcp.<your-subdomain>.workers.dev/mcp",
        "--header", "Authorization: Bearer <your-token>"
      ]
    }
  }
}

Workers characteristics: 8s timeout per upstream call, 2 retries, rate limiter disabled (stateless per-request model). Free tier: 100k requests/day. See deployment guide for full details.

Available Tools

24 tools, grouped by business domain.

Core POS

Tool Description
manage_orders Create, read, update, delete, print, ship, manage status; batch_update patches up to 50 orders/call
manage_products Product catalog with variations and pricing
manage_customers Customer CRUD, reward points, transaction history
manage_inventory Inventory reports filtered by warehouse, category, supplier

Supply Chain & Warehousing

Tool Description
manage_warehouses Warehouse CRUD and configuration
manage_suppliers Supplier contact and profile management
manage_purchases Purchase orders and inbound inventory
manage_transfers Warehouse-to-warehouse transfer management
manage_stocktaking Physical inventory count records

Sales Extensions

Tool Description
manage_returns Order returns and exchange processing
manage_combos Product bundle deals and time-limited offers
manage_promotions Discount campaigns (percent/amount-based)
manage_vouchers Voucher code generation and usage tracking

CRM & Multi-Channel

Tool Description
manage_crm_contacts CRM contact CRUD and relationship management
manage_crm_deals Sales pipeline opportunities and stages
manage_crm_activities Calls, meetings, tasks, notes tied to contacts/deals
manage_ecommerce Multi-channel sync (Shopee, Lazada, TikTok)
manage_livestream Live selling session management and scheduling

Operations & Business Intelligence

Tool Description
manage_employees Staff management and warehouse assignments
manage_webhooks Event subscription and webhook configuration
get_statistics Inventory, sales, orders with grouping
analytics Top orders + revenue summary via server-side ES aggregations (no pagination loops)
get_shop_info Shop profile information and settings
lookup_address Vietnamese address hierarchy via /geo/* (OLD 3-tier + NEW 2-tier post-2025-07-01)

Available Resources

Static reference resources (no authentication required):

Resource Contents
order-statuses 16 order status codes with Vietnamese/English names
order-sources Sales channel codes (Facebook, Shopee, Lazada, etc.)
sort-options 22 sort options for order listing
webhook-events Webhook event types (order.created, order.updated, etc.)
error-codes HTTP error code reference
rate-limits API rate limits (1000/min, 10000/hour)
shipping-partners Live shipping partner data (cached from API)

Architecture

  • API Client: Token-bucket rate limiting (1000/min, 10000/hour), exponential backoff retries (3 attempts; Workers: 2)
  • Tools: 24 MCP tools organized by business domain
  • Schema Validation: Zod with discriminated unions, z.coerce.number() for stringified numbers from LLM clients
  • Transport: Stdio (default) + Streamable HTTP + Cloudflare Workers with optional Bearer token auth
  • Error Handling: Structured error responses with code and message
  • Compact responses: verbosity: "compact" (default) trims payloads 60–85% on orders, products, warehouses, lookup_address; "full" for debugging
  • Bulk ops: manage_orders batch_update action patches up to 50 orders per call
  • Replay validation: tests/replay/ re-runs production traces against local handlers to gate response-size regressions

Development

Type Checking

bun run typecheck

Run Tests

bun run test       # vitest (includes Workers tests)

Project Structure

src/
├── api-client/              # HTTP layer with rate limiting
│   ├── pancake-http-client.ts
│   ├── request-builder.ts
│   └── response-parser.ts
├── tools/                   # 24 MCP tools (24 files)
├── resources/               # MCP reference resources
├── shared/                  # Schemas, errors, pagination
├── config.ts                # Environment configuration
├── server.ts                # MCP server factory
├── worker.ts                # Cloudflare Workers entry point
└── index.ts                 # Entry point (stdio + HTTP)

See docs/code-standards.md for full development guidelines.

Documentation

Troubleshooting

A few non-obvious gotchas:

  • 429 Too Many Requests — hit Pancake rate limit (1000/min, 10000/hour). The built-in token bucket auto-throttles; reduce parallelism on the caller side.
  • Tests fail with Cannot find package 'cloudflare:test' — use bun run test (vitest), not native bun test. Workers tests need the vitest pool worker plugin.
  • Claude Desktop doesn't see the tools — the command/args path in claude_desktop_config.json must be absolute. Restart Claude Desktop after editing the config.

For other errors, check the error message and verify .env credentials.

License

MIT License — See LICENSE file for full text.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Pancake Pos MCP

How do I install Pancake Pos MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Pancake Pos MCP safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Pancake Pos MCP still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.