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URL: https://glama.ai/mcp/servers/nguyennguyenit/pancake-pos-mcp

⇱ pancake-pos-mcp by nguyennguyenit | Glama


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

Related MCP server: SmartKasa MCP Server

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 POSPancake (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) → APIGenerate 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

  • Display ID resolver: manage_orders action=delete defaults to interpreting order_id as display_id (small per-shop number like 521 or 'A483') via a two-stage search+scan resolver; set id_kind="id" to pass internal Pancake id directly. Returns structured error codes: LIKELY_INTERNAL_ID, NOT_FOUND_DISPLAY_ID, AMBIGUOUS_DISPLAY_ID, NOT_DRAFT, STATUS_UNKNOWN, ORDER_NOT_FOUND, ORDER_GONE.

  • 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.

A
license - permissive license
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quality - not tested
C
maintenance

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