Zendesk MCP Server
Enables AI-powered ticket analysis and comprehensive Zendesk API integration via the Model Context Protocol, supporting both API token (CLI) and OAuth 2.1 (web) authentication modes.
README
<div align="center">
Zendesk MCP Server
A Model Context Protocol server for Zendesk API integration with AI-powered ticket analysis
Quick Start • Configuration • Tools • Architecture • Development
</div>
Overview
Zendesk MCP Server provides comprehensive access to the Zendesk API through the Model Context Protocol. It supports two transport modes that are auto-detected from environment variables:
- Stdio mode — API token auth, for CLI-based MCP clients (Claude Code, Cursor, etc.)
- HTTP mode — OAuth 2.1 with PKCE, for web-based MCP clients
Both modes expose the same set of tools. No code changes are needed to switch between them.
Based on mattcoatsworth/zendesk-mcp-server with significant enhancements including AI-powered features, dual-mode authentication, improved error handling, and comprehensive retry logic.
Quick Start
Stdio Mode (API Token)
Best for CLI-based MCP clients like Claude Code or Cursor. Each user only needs their own email + API token.
1. Get your API token from Zendesk Admin Center → Apps and integrations → APIs → Zendesk API → Add API token.
2. Configure your MCP client:
{
"zendesk": {
"type": "stdio",
"command": "npx",
"args": ["@sshadows/zendesk-mcp-server"],
"env": {
"ZENDESK_SUBDOMAIN": "your-subdomain",
"ZENDESK_EMAIL": "you@example.com",
"ZENDESK_API_TOKEN": "your-api-token"
}
}
}
That's it. The server auto-detects stdio mode and connects.
HTTP Mode (OAuth 2.1)
Best for web-based MCP clients or multi-user deployments with centralized OAuth.
1. Create an OAuth app in Zendesk Admin Center → Apps and integrations → APIs → OAuth Clients.
2. Create a .env file:
ZENDESK_SUBDOMAIN=your-subdomain
ZENDESK_OAUTH_CLIENT_ID=your_client_id
ZENDESK_OAUTH_CLIENT_SECRET=your_client_secret
ZENDESK_OAUTH_REDIRECT_URI=http://localhost:3030/zendesk/oauth/callback
3. Start and authorize:
npm start
# Visit http://localhost:3030/oauth/authorize in your browser
4. Use the token with your MCP client: Authorization: Bearer mcp_...
Installation
| Requirement | Version | Notes |
|---|---|---|
| Node.js | >= 18.0.0 | Required |
| Zendesk Account | Any plan | Required |
| Anthropic API Key | - | Only for AI analysis features |
# npm (recommended)
npm install -g @sshadows/zendesk-mcp-server
# Or from source
git clone https://github.com/SShadowS/zendesk-mcp-server.git
cd zendesk-mcp-server
npm install
Configuration
Environment Variables
The server auto-detects which mode to use based on which variables are set.
Stdio mode (set ZENDESK_EMAIL + ZENDESK_API_TOKEN, without ZENDESK_OAUTH_CLIENT_ID):
ZENDESK_SUBDOMAIN=mycompany
ZENDESK_EMAIL=user@example.com
ZENDESK_API_TOKEN=your-api-token
HTTP mode (set ZENDESK_OAUTH_CLIENT_ID):
ZENDESK_SUBDOMAIN=mycompany
ZENDESK_OAUTH_CLIENT_ID=your_client_id
ZENDESK_OAUTH_CLIENT_SECRET=your_client_secret
ZENDESK_OAUTH_REDIRECT_URI=http://localhost:3030/zendesk/oauth/callback
Common (both modes):
MODE=full # 'full' (all 55 tools) or 'lite' (10 essential tools)
ANTHROPIC_API_KEY=sk-ant-... # Required for AI image/document analysis
ZENDESK_DEBUG=false # Enable debug logging
HTTP mode only:
PORT=3030
SERVER_BASE_URL=http://localhost:3030 # Use https:// in production
See .env.example for the full list.
Tool Modes
Control which tools are exposed with the MODE environment variable:
full(default) — All 55 tools available.lite— 10 essential tools for reduced context usage:search,get_user,list_tickets,get_ticket,get_ticket_comments,add_ticket_comment,get_ticket_attachments,analyze_ticket_images,analyze_ticket_documents,get_document_summary.
MODE=lite npm start
Available Tools
<details> <summary><b>Ticket Management</b></summary>
| Tool | Description |
|---|---|
list_tickets |
List tickets with filters (status, assignee, etc.) |
get_ticket |
Get ticket details with optional comments |
create_ticket |
Create a new ticket |
update_ticket |
Update ticket fields |
get_ticket_comments |
Get all comments on a ticket |
add_ticket_comment |
Add public or internal comment |
get_ticket_attachments |
Get ticket attachments |
analyze_ticket_images |
AI-powered image analysis with Claude Vision |
analyze_ticket_documents |
AI-powered document analysis |
get_document_summary |
Quick document summary |
</details>
<details> <summary><b>User Management</b></summary>
| Tool | Description |
|---|---|
list_users |
List all users |
get_user |
Get user details |
create_user |
Create new user |
update_user |
Update user info |
delete_user |
Delete a user |
</details>
<details> <summary><b>Organizations</b></summary>
| Tool | Description |
|---|---|
list_organizations |
List all organizations |
get_organization |
Get organization details |
create_organization |
Create new organization |
update_organization |
Update organization |
delete_organization |
Delete organization |
</details>
<details> <summary><b>Automation & Workflows</b></summary>
| Category | Tools |
|---|---|
| Groups | list_groups, get_group, create_group, update_group, delete_group |
| Macros | list_macros, get_macro, create_macro, update_macro, delete_macro |
| Views | list_views, get_view, create_view, update_view, delete_view |
| Triggers | list_triggers, get_trigger, create_trigger, update_trigger, delete_trigger |
| Automations | list_automations, get_automation, create_automation, update_automation, delete_automation |
</details>
<details> <summary><b>Help Center, Search, Talk & Chat</b></summary>
| Category | Tools |
|---|---|
| Search | search — Search across all Zendesk data |
| Help Center | list_articles, get_article, create_article, update_article, delete_article |
| Talk | get_talk_stats — Phone support statistics |
| Chat | list_chats — Chat conversations |
</details>
Architecture
Transport Modes
src/index.js (auto-detection)
├── ZENDESK_EMAIL + ZENDESK_API_TOKEN → Stdio mode
│ ├── ZendeskClient.setApiTokenAuth()
│ ├── setDefaultZendeskClient(client)
│ └── StdioServerTransport (stdin/stdout)
│
└── ZENDESK_OAUTH_CLIENT_ID → HTTP mode
├── Express server (src/http-server.js)
├── OAuth 2.1 with PKCE (src/auth/)
├── Per-session ZendeskClient instances
└── StreamableHTTPServerTransport
Tools are identical in both modes. They call getZendeskClient() which resolves to:
- HTTP mode: Per-session client via AsyncLocalStorage
- Stdio mode: Singleton default client
Project Structure
zendesk-mcp-server/
├── src/
│ ├── index.js # Entry point (auto-detects mode)
│ ├── http-server.js # Express server with OAuth (HTTP mode only)
│ ├── server.js # MCP server setup and tool registration
│ ├── request-context.js # Per-session + default client context
│ ├── auth/
│ │ ├── oauth-handler.js # OAuth 2.1 with PKCE
│ │ ├── session-store.js # Session management
│ │ └── middleware.js # Bearer token auth middleware
│ ├── zendesk-client/
│ │ ├── base.js # Auth, HTTP requests, retry logic
│ │ ├── index.js # Mixin composition
│ │ ├── tickets.js # Ticket API methods
│ │ ├── users.js # User API methods
│ │ └── ... # Other API domain mixins
│ ├── tools/ # MCP tool implementations
│ ├── config/
│ │ └── tool-modes.js # Full/lite mode filtering
│ └── utils/
│ ├── errors.js # Classified error types
│ ├── retry.js # Exponential backoff
│ ├── ticket-context.js # AI prompt context builder
│ ├── document-handler.js # Document routing
│ └── converter-client.js # Office-to-PDF conversion
├── tests/ # Vitest test suite
├── .env.example # Environment variable template
└── CLAUDE.md # AI assistant project guide
Key Design Decisions
- Dual auth in one client:
ZendeskClientBasesupports bothsetApiTokenAuth()(Basic) andsetAccessToken()(Bearer). The_authModefield determines which headergetAuthHeader()returns. - Default client fallback: AsyncLocalStorage doesn't propagate through StdioServerTransport's event callbacks. Instead of fighting that,
getZendeskClient()falls back to a module-level default client in stdio mode. Zero changes needed in any tool file. - Console.error everywhere: In stdio mode, stdout is the MCP transport. All diagnostic logging in shared code paths uses
console.error. - HTTP mode is unchanged:
src/http-server.jsandsrc/auth/*are only imported in HTTP mode. No changes were needed.
Development
npm start # Start server (auto-detects mode)
npm run dev # Start with auto-reload
npm test # Run all tests
npm run test:watch # Run tests in watch mode
npm run inspect # Launch MCP Inspector
Testing
Tests use Vitest and are in tests/ mirroring the src/ directory:
npm test # Run all tests
npm run test:watch # Watch mode
Integration tests (against real Zendesk + Anthropic APIs) require .env credentials and are automatically skipped when credentials are missing.
HTTP Mode Endpoints
| Endpoint | Description |
|---|---|
ALL /mcp |
Main MCP endpoint (requires Bearer token) |
GET /oauth/authorize |
Start OAuth flow |
GET /zendesk/oauth/callback |
OAuth callback |
POST /oauth/token |
Token exchange |
POST /oauth/register |
Dynamic client registration (RFC 7591) |
GET /.well-known/oauth-authorization-server |
OAuth metadata (RFC 8414) |
GET /.well-known/oauth-protected-resource |
Protected resource metadata (RFC 9728) |
GET /health |
Health check |
Troubleshooting
<details> <summary><b>Missing configuration error on startup</b></summary>
The server needs either API token or OAuth credentials. Set one of:
# Stdio mode
ZENDESK_SUBDOMAIN=... ZENDESK_EMAIL=... ZENDESK_API_TOKEN=...
# HTTP mode
ZENDESK_SUBDOMAIN=... ZENDESK_OAUTH_CLIENT_ID=... ZENDESK_OAUTH_CLIENT_SECRET=...
</details>
<details> <summary><b>401 Unauthorized (OAuth / HTTP mode)</b></summary>
- Complete OAuth flow: visit
http://localhost:3030/oauth/authorize - Check if token expired (24-hour TTL) — re-authorize if needed
- Ensure Bearer token is included:
Authorization: Bearer mcp_xxx - Token format should start with
mcp_
</details>
<details> <summary><b>401 Unauthorized (API token / stdio mode)</b></summary>
- Verify
ZENDESK_EMAILis correct - Verify
ZENDESK_API_TOKENis a valid API token (not a password) - Verify
ZENDESK_SUBDOMAINis correct - Check the connection test output in stderr on startup
</details>
<details> <summary><b>Session lost after server restart (HTTP mode)</b></summary>
In-memory sessions are cleared on restart. Re-authorize to get a new token. For production, implement a Redis-based session store (see src/auth/session-store.js).
</details>
<details> <summary><b>AI analysis features not working</b></summary>
Set ANTHROPIC_API_KEY in your environment. This is only needed for analyze_ticket_images, analyze_ticket_documents, and get_document_summary.
</details>
<details> <summary><b>Rate limiting (429 errors)</b></summary>
The server includes exponential backoff retry logic. If you hit rate limits frequently, consider using MODE=lite to reduce API calls, or check if multiple clients share the same credentials.
</details>
Contributing
- Fork the repository
- Create your feature branch (
git checkout -b feature/my-feature) - Run tests (
npm test) - Commit your changes
- Open a Pull Request
License
MIT License — see LICENSE for details.
Acknowledgments
- Original implementation by @mattcoatsworth
- Built with Model Context Protocol
- AI features powered by Anthropic Claude
<div align="center">
Made with care by SShadowS
</div>
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。