# AgentQ MCP Server

> Use this tool when you need to automate software quality assurance processes, identify defects, and optimize testing workflows. The AgentQ MCP Server platform takes in software code and testing parameters as inputs and outputs detailed test reports, recommendations, and analytics to improve overall software quality. It solves problems related to manual testing, defect detection, and quality assurance, making it ideal for development teams seeking to streamline their testing processes.

Canonical page: https://skillsregistry.net/skills/io-github-noviantonugroho4-agentq  
JSON: https://api.skillsregistry.net/v1/skills/io-github-noviantonugroho4-agentq

## Description

AgentQ MCP Server - AI-Powered Software Quality Assurance Platform

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-11

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.noviantonugroho4%2Fagentq)

## Use it

MCP endpoint published by the skill: `https://mcp.agentq.id/mcp`

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": "io-github-noviantonugroho4-agentq"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-noviantonugroho4-agentq` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-noviantonugroho4-agentq/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