Shopmonkey MCP Server
Enables AI agents to interact with the Shopmonkey REST API to manage shop management data including work orders, customers, vehicles, and inventory. It provides 33 tools across 9 resource groups with built-in support for rate limiting, concurrency control, and multi-location management.
README
Shopmonkey MCP Server
A Model Context Protocol (MCP) server that wraps the Shopmonkey REST API (v3), enabling AI agents and LLMs to interact with shop management data — work orders, customers, vehicles, inventory, appointments, payments, labor, services, and more.
Features
- 33 tools across 9 resource groups covering the full Shopmonkey API
- Bearer token authentication via API key
- Automatic retry with exponential backoff on rate limits (HTTP 429) and server errors (500/502/503/504)
- 30-second request timeout prevents hung connections
- Request concurrency control (max 5 simultaneous API calls)
- Multi-location support via
SHOPMONKEY_LOCATION_IDdefault or per-requestlocationId - Descriptive error messages surfacing Shopmonkey error codes
- Works with Claude Desktop, Cursor, Claude Code, and any MCP-compatible client
Tool Reference
Work Orders
| Tool | Description |
|---|---|
list_orders |
List work orders with filters (status, customer, location) |
get_order |
Get single work order details |
create_order |
Create new work order |
update_order |
Update work order fields |
delete_order |
Permanently delete a work order (requires confirm: true) |
Customers
| Tool | Description |
|---|---|
list_customers |
List customers, searchable by name/email/phone |
get_customer |
Get single customer profile |
create_customer |
Add new customer |
update_customer |
Update customer info |
Vehicles
| Tool | Description |
|---|---|
list_vehicles |
List vehicles, filter by customer |
get_vehicle |
Get single vehicle details |
create_vehicle |
Add vehicle (optionally linked to customer) |
update_vehicle |
Update vehicle data |
Inventory & Parts
| Tool | Description |
|---|---|
list_inventory_parts |
List parts inventory |
get_inventory_part |
Get single part details |
list_inventory_tires |
List tire inventory |
search_parts |
Search parts catalog (query required) |
Appointments
| Tool | Description |
|---|---|
list_appointments |
List appointments |
get_appointment |
Get single appointment |
create_appointment |
Book appointment |
update_appointment |
Reschedule/update appointment |
Payments
| Tool | Description |
|---|---|
list_payments |
List payments |
get_payment |
Get payment details |
create_payment |
Record a payment (orderId and amount required) |
Technicians & Labor
| Tool | Description |
|---|---|
list_labor |
List labor line items |
list_timeclock |
Technician clock-in/clock-out events |
list_users |
List shop users/technicians |
get_user |
Get single user/tech profile |
Services
| Tool | Description |
|---|---|
list_services |
List services on orders |
list_canned_services |
List pre-built service templates |
get_canned_service |
Get single canned service details |
Workflow & Locations
| Tool | Description |
|---|---|
list_workflow_statuses |
Get pipeline/workflow stages |
list_locations |
List shop locations |
Setup
Prerequisites
- Node.js 18+
- A Shopmonkey API key (create at: Shopmonkey Settings > Integration > API Keys)
Installation
git clone https://github.com/AbbottDevelopments/shopmonkey-mcp-server.git
cd shopmonkey-mcp-server
npm install
npm run build
Environment Variables
Copy .env.example to .env and add your API key:
cp .env.example .env
Then edit .env:
# Required — your Shopmonkey API key
SHOPMONKEY_API_KEY=your_long_lived_api_key_here
# Optional — defaults to https://api.shopmonkey.cloud/v3
SHOPMONKEY_BASE_URL=https://api.shopmonkey.cloud/v3
# Optional — set this for multi-location shops to auto-filter all queries to one location
SHOPMONKEY_LOCATION_ID=
The server loads .env automatically via dotenv. You can also pass environment variables through your MCP client config (see below) or your shell.
MCP Client Configuration
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"shopmonkey": {
"command": "node",
"args": ["dist/index.js"],
"cwd": "/path/to/shopmonkey-mcp-server",
"env": {
"SHOPMONKEY_API_KEY": "your_api_key_here"
}
}
}
}
Cursor
Add to your Cursor MCP settings:
{
"mcpServers": {
"shopmonkey": {
"command": "node",
"args": ["dist/index.js"],
"cwd": "/path/to/shopmonkey-mcp-server",
"env": {
"SHOPMONKEY_API_KEY": "your_api_key_here"
}
}
}
}
Claude Code
claude mcp add shopmonkey -e SHOPMONKEY_API_KEY=your_api_key_here -- node /path/to/shopmonkey-mcp-server/dist/index.js
Development
# Build
npm run build
# Watch mode
npm run dev
# Start server
npm start
# Run tests
npm test
Error Handling
The server handles common API scenarios:
- Missing API key: Returns a descriptive error with setup instructions
- Rate limiting (429): Automatically retries with exponential backoff (up to 3 attempts)
- Server errors (500, 502, 503, 504): Automatically retries with backoff
- Request timeout: Aborts after 30 seconds with a clear error message
- Network failures: Retries with backoff, returns readable error messages
- API errors: Surfaces Shopmonkey error codes (e.g.,
API-xxxxx,ORM-xxxxx) for debugging
API Reference
License
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。