# zendesk-mcp

> Use this tool when you need to automate and streamline Zendesk ticket management, solving problems such as manual data entry and synchronization with development platforms. It enables reading and writing tickets, including searching, commenting, and assigning, with outputs formatted as Markdown issue drafts for seamless handoff to GitLab, GitHub, or Jira. Ideal for use in customer support and development workflows, it accepts inputs such as ticket IDs and user queries, and generates outputs including formatted issue drafts and updated ticket status.

Canonical page: https://skillsregistry.net/skills/michaelrice-zendesk-mcp  
JSON: https://api.skillsregistry.net/v1/skills/michaelrice-zendesk-mcp

## Description

Enables reading and writing Zendesk tickets, including searching, fetching comments, posting replies and internal notes, setting ticket status, assigning tickets, logging time, and formatting tickets as Markdown issue drafts for handoff to GitLab, GitHub, or Jira.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lzdxyoxpvw)
- **Repository:** <https://github.com/michaelrice/zendesk-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "michaelrice-zendesk-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/michaelrice-zendesk-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/michaelrice-zendesk-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
