ServiceTitan MCP Server

ServiceTitan MCP Server

Provides AI assistants with direct access to ServiceTitan's field service management platform for home services contractors. It enables users to manage customers, jobs, appointments, technician dispatching, and invoices through natural language.

Category
访问服务器

README

ServiceTitan MCP Server

AI-native interface to ServiceTitan for home services contractors

An MCP (Model Context Protocol) server that gives AI assistants direct access to ServiceTitan — the leading field service management platform. Built for HVAC, plumbing, electrical, and other home services contractors who want their AI to manage jobs, look up customers, schedule appointments, dispatch technicians, and track invoices.

🛠️ Available Tools

Tool Description
search_customers Search customers by name, phone, email, or address
get_customer Get full customer details including contacts and service history
list_jobs List jobs with filters for status, date range, customer, or technician
get_job Get complete job details including notes and assigned tech
create_job Create a new job for a customer
get_available_appointments Find available appointment slots in a date range
schedule_appointment Schedule or reschedule a job appointment
list_technicians List active technicians with current status and schedule
dispatch_technician Assign a technician to a job appointment
get_invoice Get invoice details with line items and payment status
list_unpaid_invoices List unpaid/overdue invoices for collections follow-up

🚀 Quick Start

1. Get ServiceTitan API Credentials

  1. Go to the ServiceTitan Developer Portal
  2. Create an application in My Apps to get your App Key
  3. Have your ServiceTitan admin generate Client ID and Client Secret for your environment
  4. Note your Tenant ID from ServiceTitan settings

2. Configure Environment

cp .env.example .env
# Edit .env with your credentials:
#   ST_CLIENT_ID=your_client_id
#   ST_CLIENT_SECRET=your_client_secret
#   ST_APP_KEY=your_app_key
#   ST_TENANT_ID=your_tenant_id
#   ST_ENVIRONMENT=production  # or "integration" for sandbox

3. Install & Run

# Install
pip install -e .

# Run the MCP server
servicetitan-mcp

# Or run directly
python -m servicetitan_mcp.server

4. Connect to Your AI

Add to your MCP client configuration (e.g., Claude Desktop):

{
  "mcpServers": {
    "servicetitan": {
      "command": "servicetitan-mcp",
      "env": {
        "ST_CLIENT_ID": "your_client_id",
        "ST_CLIENT_SECRET": "your_client_secret",
        "ST_APP_KEY": "your_app_key",
        "ST_TENANT_ID": "your_tenant_id",
        "ST_ENVIRONMENT": "production"
      }
    }
  }
}

🔐 Authentication

ServiceTitan uses OAuth2 Client Credentials grant:

  • Auth endpoint: https://auth.servicetitan.io/connect/token (production) or https://auth-integration.servicetitan.io/connect/token (sandbox)
  • API base: https://api.servicetitan.io (production) or https://api-integration.servicetitan.io (sandbox)
  • Required headers: Authorization: Bearer {token} + ST-App-Key: {app_key}
  • Tokens are cached and auto-refreshed before expiry

Required Environment Variables

Variable Description
ST_CLIENT_ID OAuth2 Client ID
ST_CLIENT_SECRET OAuth2 Client Secret
ST_APP_KEY ServiceTitan Application Key
ST_TENANT_ID Your ServiceTitan Tenant ID
ST_ENVIRONMENT production or integration (default: production)

📦 ServiceTitan API Modules Used

Module Base Path Entities
CRM /crm/v2/tenant/{id}/ Customers, Contacts, Locations, Bookings
Job Planning /jpm/v2/tenant/{id}/ Jobs, Appointments, Job Types
Dispatch /dispatch/v2/tenant/{id}/ Technician Shifts, Appointment Assignments
Accounting /accounting/v2/tenant/{id}/ Invoices, Payments
Settings /settings/v2/tenant/{id}/ Technicians, Employees, Business Units

🧪 Development

# Install with dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Lint
ruff check src/ tests/

☁️ Deployment

Apify Marketplace

Coming Day 3 — pay-per-event billing on Apify

The apify_actor/ directory contains the deployment scaffold for the Apify platform.

mcp.so

Coming — listing at mcp.so

Smithery

Coming — listing at smithery.ai

📋 Roadmap

  • [x] Day 1: Core scaffold — 11 tools covering the contractor workflow loop
  • [ ] Day 2: Validate against ServiceTitan sandbox, fix endpoint paths, add integration tests
  • [ ] Day 3: Apify Actor deployment, pay-per-event billing, marketplace listings

📄 License

MIT

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选