Rippling MCP Server
Connects AI agents to the Rippling HR/IT/Finance platform to query employees, manage leave requests, and view organizational structures. It provides eighteen tools for accessing company data, employee details, and administrative activities through the Rippling API.
README
Rippling MCP Server
An open-source Model Context Protocol (MCP) server for the Rippling HR/IT/Finance platform. Connect any AI agent or LLM to your Rippling workspace — query employees, manage leave requests, view company structure, and more.
Features
- 18 tools across 6 domains: Company, Employees, Organization, Leave, Groups, Activity
- Bearer token auth — simple API token setup, no OAuth dance required
- Rate limit aware — respects Rippling's rate limit headers
- AI-friendly errors — structured error messages with actionable fix suggestions
- TypeScript — full type safety, built with
@modelcontextprotocol/sdk
Quick Start
1. Get a Rippling API Token
Go to Rippling > Settings > API Tokens > Create API Token. Copy the token.
2. Configure in Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"rippling": {
"command": "npx",
"args": ["-y", "rippling-mcp-server"],
"env": {
"RIPPLING_API_TOKEN": "your_api_token_here"
}
}
}
}
3. Use It
Ask Claude things like:
- "List all employees in Engineering"
- "Who has pending leave requests?"
- "Show me the company org structure"
- "What's Alice's PTO balance?"
Tools Reference
Company
| Tool | Description |
|---|---|
get_company |
Get company details (name, address, locations) |
list_departments |
List all departments with hierarchy |
list_work_locations |
List work locations and addresses |
Employees
| Tool | Description |
|---|---|
list_employees |
List active employees (paginated) |
get_employee |
Get a specific employee by ID |
list_all_employees |
List all employees including terminated |
search_employees |
Search by name, email, title, or department |
Organization
| Tool | Description |
|---|---|
list_teams |
List teams and subteam relationships |
list_levels |
List position levels (IC, Manager, Executive) |
list_custom_fields |
List custom field definitions |
Leave Management
| Tool | Description |
|---|---|
get_leave_balances |
Get PTO/sick leave balances for an employee |
list_leave_requests |
List leave requests (filter by status, date, requester) |
process_leave_request |
Approve or decline a pending leave request |
list_leave_types |
List all leave types configured for the company |
Groups
| Tool | Description |
|---|---|
list_groups |
List all groups |
create_group |
Create a new group with members |
update_group |
Update group name or members |
delete_group |
Delete a group |
Activity
| Tool | Description |
|---|---|
get_company_activity |
Get activity events (hires, changes, terminations) |
Configuration
| Variable | Required | Default | Description |
|---|---|---|---|
RIPPLING_API_TOKEN |
Yes | — | Your Rippling API token |
RIPPLING_BASE_URL |
No | https://api.rippling.com/platform/api |
API base URL |
For sandbox/testing, set RIPPLING_BASE_URL to https://sandbox.rippling.com/api/platform/api.
Development
# Install dependencies
npm install
# Run in development mode
RIPPLING_API_TOKEN=your_token npm run dev
# Run tests
npm test
# Build for production
npm run build
# Type check
npm run lint
How It Works
This server wraps the Rippling Platform API (V1) and exposes it through the Model Context Protocol. When an AI agent calls a tool, the server:
- Validates the input using Zod schemas
- Makes authenticated requests to the Rippling API
- Handles rate limiting automatically
- Returns structured JSON responses (or actionable error messages)
Limitations
- Employee endpoints are read-only (Rippling API V1 restriction)
- API token permissions determine which fields are returned per employee
- Rate limits are enforced by Rippling (monitor via response headers)
- Leave request processing requires appropriate admin permissions
License
MIT
Contributing
Issues and PRs welcome.
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。