# Qase

> Use this tool when you need to automate test case management and reporting for software testing activities through a conversational AI interface. Qase provides a standardized bridge between AI assistants and test management platforms, enabling seamless project, test case, and test run management. Ideal for QA teams seeking to streamline testing workflows and track activities directly through AI-powered conversations.

Canonical page: https://skillsregistry.net/skills/rayyokoyama-qase  
JSON: https://api.skillsregistry.net/v1/skills/rayyokoyama-qase

## Description

Qase MCP server provides a bridge between AI assistants and the Qase test management platform, enabling automated test case management and reporting through a standardized interface. Built with TypeScript, it exposes tools for managing projects, test cases, and test runs through the Qase API while handling authentication and error states appropriately. This implementation is particularly valuable for QA teams who want to track and manage software testing activities directly through conversational AI.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rayyokoyama-qase)
- **Repository:** <https://github.com/rayyokoyama/qase-mcp-server>

## 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": "rayyokoyama-qase"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rayyokoyama-qase` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rayyokoyama-qase/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