# qartez-mcp

> qartez-mcp — kuberstar-qartez-mcp. Use this tool when you need to analyze and understand complex codebases, as it provides semantic code intelligence through project maps, symbol search, and impact analysis. It solves problems related to code navigation, refactoring, and maintenance, making it ideal for developers working with large-scale projects. The qartez-mcp server accepts git repositories as input and outputs actionable insights to inform coding decisions.

Canonical page: https://skillsregistry.net/skills/kuberstar-qartez-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kuberstar-qartez-mcp

## Description

Semantic code intelligence MCP server for Claude Code - project maps, symbol search, impact analysis, and more

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** maps-location
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/kuberstar/qartez-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": "kuberstar-qartez-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kuberstar-qartez-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kuberstar-qartez-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
