# zephyr-dc-mcp

> zephyr-dc-mcp — dalemarchand-zephyr-dc-mcp. Use this tool when you need to integrate Large Language Models (LLMs) with Jira Data Center for test management, enabling automated management of test cases, cycles, and executions via Zephyr Scale. It solves problems related to manual test case management, providing a seamless interface for LLMs to input test data and receive execution results. Ideal for use cases requiring automated testing and reporting in agile development environments.

Canonical page: https://skillsregistry.net/skills/dalemarchand-zephyr-dc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dalemarchand-zephyr-dc-mcp

## Description

Enables LLMs to manage test cases, cycles, and executions in Jira Data Center via Zephyr Scale.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gxsul4va0d)
- **Repository:** <https://github.com/dalemarchand/zephyr-dc-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": "dalemarchand-zephyr-dc-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dalemarchand-zephyr-dc-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dalemarchand-zephyr-dc-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