timezest-mcp
TimeZest scheduling MCP server for the WYRE MCP Gateway. Enables AI assistants to schedule appointments and manage availability.
README
TimeZest MCP Server
MCP (Model Context Protocol) server for TimeZest scheduling platform. Enables LLM agents to create and manage technician scheduling requests with PSA integration.
Features
- 🎯 Decision-tree navigation - organized tool discovery
- 📅 Full scheduling lifecycle - create, view, cancel requests
- 🔗 PSA integration - ConnectWise, Autotask, Halo support
- 🌍 IANA timezone handling - explicit timezone management
- 🚀 Dual trigger modes - PSA workflows or booking URLs
- 🛡️ Gateway-ready - stateless per-request design
- 🔍 TQL filtering - TimeZest Query Language support
- ✨ Elicitation support - interactive user prompts
Quick Start
Docker (Recommended)
docker run -it --rm \
-e TIMEZEST_API_TOKEN=your-api-token \
ghcr.io/wyre-technology/timezest-mcp:latest
npm
npm install -g @wyre-technology/timezest-mcp
TIMEZEST_API_TOKEN=your-token timezest-mcp
Configuration
| Environment Variable | Required | Description |
|---|---|---|
TIMEZEST_API_TOKEN |
Yes | TimeZest API token |
MCP_TRANSPORT |
No | Transport mode: stdio (default) or http |
MCP_HTTP_PORT |
No | HTTP port (default: 8080) |
AUTH_MODE |
No | Set to gateway for WYRE gateway integration |
LOG_LEVEL |
No | Log level: debug, info (default), warn, error |
Tool Domains
The server uses decision-tree navigation to organize tools by domain:
Navigation
timezest_navigate- Enter a domain to access its toolstimezest_status- Show available domains and current state
Agents
timezest_agents_list- List individual technicianstimezest_agents_get- Get agent details
Teams
timezest_teams_list- List teams (round-robin scheduling)timezest_teams_get- Get team details
Appointment Types
timezest_appointment_types_list- List available service typestimezest_appointment_types_get- Get appointment type details
Resources
timezest_resources_list- List all resources (agents + teams)
Scheduling (Core Domain)
timezest_scheduling_list- List scheduling requeststimezest_scheduling_get- Get request detailstimezest_scheduling_create_request- Create new request (key tool)timezest_scheduling_cancel- Cancel request
Usage Examples
Basic Navigation
User: "Show me TimeZest domains"
Tools: timezest_status
User: "Go to scheduling"
Tools: timezest_navigate(domain="scheduling")
Create a Scheduling Request
User: "Book a technician for server repair at Customer Corp tomorrow"
Tools: timezest_scheduling_create_request({
"appointmentTypeId": "repair-onsite",
"triggerMode": "pod",
"endUser": {
"name": "John Doe",
"company": "Customer Corp",
"email": "john@customer.com"
},
"timeRange": {
"earliestDate": "2024-02-01",
"earliestTime": "09:00",
"latestDate": "2024-02-01",
"latestTime": "17:00",
"timezone": "America/New_York"
},
"associatedEntities": [
{"type": "connectwise", "id": "12345", "number": "T20240001"}
]
})
PSA Integration
Link scheduling requests to PSA tickets:
{
"associatedEntities": [
{"type": "connectwise", "id": "12345", "number": "T20240001"},
{"type": "autotask", "id": "67890"},
{"type": "halo", "id": "11111"}
]
}
Trigger Modes
pod: Fires the configured PSA workflow (creates calendar entries, updates tickets)generate_url: Returns a shareable booking URL for customers
TQL Filtering
TimeZest Query Language examples:
# Active agents in IT department
filter: "active:true AND department:\"IT Support\""
# Recent scheduling requests
filter: "createdAt:>=2024-01-01 AND status:pending"
# Specific customer requests
filter: "endUser.company:\"Important Customer\""
Timezone Handling
CRITICAL: Always specify IANA timezones explicitly. TimeZest interprets scheduling windows in the specified timezone.
{
"timeRange": {
"earliestDate": "2024-02-01",
"earliestTime": "09:00",
"timezone": "America/New_York" // ✅ Required
}
}
Development
Local Setup
# Clone and install
git clone https://github.com/wyre-technology/timezest-mcp.git
cd timezest-mcp
npm install
# Development with file dependency (replace before publish)
# Edit package.json: "@wyre-technology/node-timezest": "file:../node-timezest"
# Build and test
npm run build
npm test
# Run locally
TIMEZEST_API_TOKEN=your-token npm run dev
Docker Development
# Build image
docker build -t timezest-mcp --build-arg NODE_AUTH_TOKEN=$GITHUB_TOKEN .
# Run container
docker run -it --rm \
-e TIMEZEST_API_TOKEN=your-token \
-e LOG_LEVEL=debug \
timezest-mcp
MCP Integration
Claude Desktop
Add to your MCP settings:
{
"mcpServers": {
"timezest": {
"command": "npx",
"args": ["@wyre-technology/timezest-mcp"],
"env": {
"TIMEZEST_API_TOKEN": "your-api-token"
}
}
}
}
WYRE Gateway
The server is designed for the WYRE MCP Gateway with:
- Per-request server instances (stateless)
- Header-based credential injection
- Structured error responses
- Decision-tree tool organization
API Coverage
| TimeZest API | Coverage | Notes |
|---|---|---|
| Agents | ✅ List, Get | Individual technicians |
| Teams | ✅ List, Get | Round-robin scheduling |
| Appointment Types | ✅ List, Get | Service type definitions |
| Resources | ✅ List | Unified agents + teams |
| Scheduling Requests | ✅ CRUD | Core scheduling functionality |
| TQL Filtering | ✅ All endpoints | TimeZest Query Language |
| PSA Integration | ✅ All systems | ConnectWise, Autotask, Halo |
| Webhooks | ❌ N/A | TimeZest doesn't provide webhooks |
Contributing
See CONTRIBUTING.md for development guidelines.
License
Apache 2.0 - see LICENSE file for details.
Links
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。
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。
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。
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。
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。
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。
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。