# Zendesk MCP Server

> Use this tool when you need to analyze customer support data and gain insights from Zendesk ticket information. It solves problems related to customer support analysis, agent performance evaluation, and service trend identification by providing searchable ticket data and detailed analytics. The tool accepts keywords, tags, or ticket IDs as inputs and outputs relevant ticket information, agent performance metrics, and service trends.

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

## Description

Enables AI agents to interact with Zendesk ticket data for customer support analysis and insights. It supports searching tickets by tags or keywords, retrieving ticket details, and analyzing agent performance and service trends.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/djybwqzyoz)
- **Repository:** <https://github.com/fitcloud/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": "fitcloud-zendesk-mcp"
    }
  }
}
```

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