# Q1 Crafter MCP

> Use this tool when you need to streamline academic research, automating the process from searching multiple sources to generating formatted documents. It solves problems of tedious research compilation and formatting, producing APA 7 compliant .docx outputs. Ideal for students, researchers, and academics requiring efficient and accurate research formatting.

Canonical page: https://skillsregistry.net/skills/muslus-q1-crafter-mcp  
JSON: https://api.skillsregistry.net/v1/skills/muslus-q1-crafter-mcp

## Description

Automates academic research from multi-source search to APA 7 formatted .docx output.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/emvpeopo6y)
- **Repository:** <https://github.com/muslus/q1-crafter-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": "muslus-q1-crafter-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/muslus-q1-crafter-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/muslus-q1-crafter-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