# query-test-mcp

> Use this tool when you need to automate testing of Git repositories, solving problems of manual testing and validation of code changes. It takes Git repository inputs and outputs test results, providing a streamlined interface for developers to ensure code quality. Ideal for use in continuous integration and deployment pipelines, where automated testing is crucial for efficient code management.

Canonical page: https://skillsregistry.net/skills/utelar-query-test-mcp  
JSON: https://api.skillsregistry.net/v1/skills/utelar-query-test-mcp

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/utelar/query-test-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": "utelar-query-test-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/utelar-query-test-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/utelar-query-test-mcp/pull`

---
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