Zendesk MCP Server
Manage Zendesk tickets and comments, analyze tickets, draft responses, and access Help Center articles as a knowledge base.
Zendesk MCP Server
A Model Context Protocol server for Zendesk.
This server provides a comprehensive integration with Zendesk. It offers:
- Tools for retrieving and managing Zendesk tickets and comments
- Specialized prompts for ticket analysis and response drafting
- Full access to the Zendesk Help Center articles as knowledge base

Setup
- build:
uv venv && uv pip install -e .oruv buildin short. - setup zendesk credentials in
.envfile, refer to .env.example. - configure in Claude desktop:
{
"mcpServers": {
"zendesk": {
"command": "uv",
"args": [
"--directory",
"/path/to/zendesk-mcp-server",
"run",
"zendesk"
]
}
}
}
Docker
You can containerize the server if you prefer an isolated runtime:
-
Copy
.env.exampleto.envand fill in your Zendesk credentials. Keep this file outside version control. -
Build the image:
docker build -t zendesk-mcp-server . -
Run the server, providing the environment file:
docker run --rm --env-file /path/to/.env zendesk-mcp-serverAdd
-iwhen wiring the container to MCP clients over STDIN/STDOUT (Claude Code uses this mode). For daemonized runs, add-d --name zendesk-mcp.
The image installs dependencies from requirements.lock, drops privileges to a non-root user, and expects configuration exclusively via environment variables.
Claude MCP Integration
To use the Dockerized server from Claude Code/Desktop, add an entry to Claude Code's settings.json similar to:
{
"mcpServers": {
"zendesk": {
"command": "/usr/local/bin/docker",
"args": [
"run",
"--rm",
"-i",
"--env-file",
"/path/to/zendesk-mcp-server/.env",
"zendesk-mcp-server"
]
}
}
}
Adjust the paths to match your environment. After saving the file, restart Claude for the new MCP server to be detected.
Resources
- zendesk://knowledge-base, get access to the whole help center articles.
Prompts
analyze-ticket
Analyze a Zendesk ticket and provide a detailed analysis of the ticket.
draft-ticket-response
Draft a response to a Zendesk ticket.
Tools
get_tickets
Fetch the latest tickets with pagination support
-
Input:
page(integer, optional): Page number (defaults to 1)per_page(integer, optional): Number of tickets per page, max 100 (defaults to 25)sort_by(string, optional): Field to sort by - created_at, updated_at, priority, or status (defaults to created_at)sort_order(string, optional): Sort order - asc or desc (defaults to desc)
-
Output: Returns a list of tickets with essential fields including id, subject, status, priority, description, timestamps, and assignee information, along with pagination metadata
get_ticket
Retrieve a Zendesk ticket by its ID
- Input:
ticket_id(integer): The ID of the ticket to retrieve
get_ticket_comments
Retrieve all comments for a Zendesk ticket by its ID
- Input:
ticket_id(integer): The ID of the ticket to get comments for
create_ticket_comment
Create a new comment on an existing Zendesk ticket
- Input:
ticket_id(integer): The ID of the ticket to comment oncomment(string): The comment text/content to addpublic(boolean, optional): Whether the comment should be public (defaults to true)
create_ticket
Create a new Zendesk ticket
- Input:
subject(string): Ticket subjectdescription(string): Ticket descriptionrequester_id(integer, optional)assignee_id(integer, optional)priority(string, optional): one oflow,normal,high,urgenttype(string, optional): one ofproblem,incident,question,tasktags(array[string], optional)custom_fields(array[object], optional)
update_ticket
Update fields on an existing Zendesk ticket (e.g., status, priority, assignee)
- Input:
ticket_id(integer): The ID of the ticket to updatesubject(string, optional)status(string, optional): one ofnew,open,pending,on-hold,solved,closedpriority(string, optional): one oflow,normal,high,urgenttype(string, optional)assignee_id(integer, optional)requester_id(integer, optional)tags(array[string], optional)custom_fields(array[object], optional)due_at(string, optional): ISO8601 datetime
相关服务器
Kone.vc
赞助Monetize your AI agent with contextual product recommendations
MCP CSV Analysis with Gemini AI
Perform advanced CSV analysis and generate insights using Google's Gemini AI. Requires Gemini and Plotly API keys.
GoPluto AI MCP
MCP for quick human experts
Travel MCP Server
A comprehensive travel planning server for flight search, accommodation booking, currency exchange, and weather forecasting.
Google Sheets MCP
A server for interacting with Google Sheets, allowing you to read, write, and manage spreadsheet data.
Fireflies.ai
Transcribe and analyze meetings using the Fireflies.ai API.
protein-mcp-server
Protein structures (PDB, UniProt)
Ultimate Google Docs & Drive MCP Server
Interact with Google Docs and Google Drive for document creation, editing, and file management.
Scrapbox MCP
A simple notes system server for the Model Context Protocol, providing resources, tools, and prompts.
clickup-mcp
Lightweight ClickUp MCP server with 35 tools. Token-optimized responses reduce API verbosity by 95%+ (3500 chars → 160). Tasks, comments, checklists, tags, dependencies.
PDF Reader
Read text, metadata, and page count from PDF files securely within the project context.