# aiquaa-api-quality-mcp-server

> aiquaa-api-quality-mcp-server — stevenayal-aiquaa-api-quality-mcp-server. Use this tool when you need to ensure high-quality APIs by analyzing requirements and source code, evaluating test coverage, and automating testing. It solves problems of inadequate testing and manual test maintenance by generating or updating test automation and optionally creating a draft pull request on GitHub. Ideal for use in API development and testing workflows, it takes API requirements and source code as input and produces updated test automation and GitHub pull requests as output.

Canonical page: https://skillsregistry.net/skills/stevenayal-aiquaa-api-quality-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/stevenayal-aiquaa-api-quality-mcp-server

## Description

Analyzes API requirements and source code, evaluates existing Postman test coverage, and generates or updates test automation with an optional draft pull request on GitHub.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nd3kpaugez)
- **Repository:** <https://github.com/stevenayal/aiquaa-api-quality-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": "stevenayal-aiquaa-api-quality-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stevenayal-aiquaa-api-quality-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stevenayal-aiquaa-api-quality-mcp-server/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