# glasz-mcp

> Use this tool when you need to access and query glasz-style spec files from GitHub repositories without manual cloning or copying. It fetches product.md, tech.md, test-plan.md, and INDEX.md files, enabling large language models (LLMs) to answer questions about features, stories, and acceptance criteria. This tool is ideal for automating spec file retrieval and analysis in software development and testing contexts.

Canonical page: https://skillsregistry.net/skills/korgmp3-glasz-mcp  
JSON: https://api.skillsregistry.net/v1/skills/korgmp3-glasz-mcp

## Description

Fetches glasz-style spec files (product.md, tech.md, test-plan.md, and INDEX.md) from GitHub repositories, enabling LLMs to answer questions about features, stories, and acceptance criteria without cloning or pasting files.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ggik1ozka2)
- **Repository:** <https://github.com/korgmp3/glasz-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": "korgmp3-glasz-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/korgmp3-glasz-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/korgmp3-glasz-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