# mcp-loomery-skills

> mcp-loomery-skills — zimodzh-mcp-loomery-skills. Use this tool when you need to automate workflow creation from official MCP documentation, converting protocols into executable workflows for tasks like scaffold, review, and deployment. It solves problems related to manual workflow setup and supports both TypeScript and Python projects, with default stacks including TypeScript SDK v2 and Python SDK v2. It takes MCP docs as input and outputs executable workflows, ideal for use cases involving MCP server configuration and publication.

Canonical page: https://skillsregistry.net/skills/zimodzh-mcp-loomery-skills  
JSON: https://api.skillsregistry.net/v1/skills/zimodzh-mcp-loomery-skills

## Description

mcp-loomery 是一个 Agent Skill，能将官方 MCP docs（协议 2026-07-28）转化为可执行的 workflow，包括 scaffold、review、debug、configure hosts 以及 publish MCP servers。默认 stack 是 TypeScript SDK v2（@modelcontextprotocol/server + serveStdio）+ stdio + Inspector；如果已有 Python 项目或由你指定，则改用 Python SDK v2（mcp / MCPServer）。

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/zimodzh/mcp-loomery-skills)

## 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": "zimodzh-mcp-loomery-skills"
    }
  }
}
```

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