Zendesk MCP Server

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数据与分析

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reminia

关于 Zendesk MCP Server

A Model Context Protocol server for Zendesk

#zendesk #mcp-server

Zendesk MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "zendesk": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/zendesk-mcp-server",
        "run",
        "zendesk"
      ]
    }
  }
}

Zendesk MCP Server 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Zendesk MCP Server?

A Model Context Protocol server that provides a comprehensive integration with Zendesk. It offers tools for retrieving and managing Zendesk tickets and comments, plus specialized prompts for ticket analysis and response drafting. Designed for MCP-compatible clients like Claude Desktop.

How to use Zendesk MCP Server?

Create a Python environment with uv venv && uv pip install -e . or uv build. Set up Zendesk credentials in a .env file (see .env.example). Then configure the server in your MCP client (e.g., Claude Desktop) by adding the zendesk server entry with the uv command pointing to the project directory.

Key features of Zendesk MCP Server

Retrieve Zendesk tickets by ID.
Get all comments for a ticket.
Create new comments on existing tickets (public or private).
Prompt to analyze a ticket in detail.
Prompt to draft a response to a ticket.
Access entire Help Center as a knowledge base resource.

Use cases of Zendesk MCP Server

Quickly pulling ticket details and comment history during customer support discussions.
Generating draft responses for common support issues.
Using Help Center articles as a knowledge base for automated assistance.
Analyzing ticket sentiment or content before replying.

常见问题

What does Zendesk MCP Server do?

It integrates Zendesk with MCP-compatible AI tools, allowing AI agents to read, comment on, and analyze Zendesk tickets, and access Help Center articles as a knowledge base.

How do I set up Zendesk MCP Server?

You need Python and `uv` installed. Run `uv venv && uv pip install -e .`, then create a `.env` file with your Zendesk credentials. Finally, configure the server in your MCP client (e.g., Claude Desktop) using the provided JSON block.

What are the runtime dependencies?

Python (with `uv`), the packages listed in the project, and network access to your Zendesk instance. Credentials are stored in a `.env` file.

Where does my Zendesk data live?

Data is fetched live from your Zendesk instance via the Zendesk API. No data is stored locally by the server beyond what is needed for the current session.

Does Zendesk MCP Server support authentication?

Yes, you provide your Zendesk credentials (subdomain, email, API token) in the `.env` file. The server uses these to authenticate with the Zendesk API.

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