# CodeRoot-Authoring-MCP

> CodeRoot-Authoring-MCP — settletop-inc-coderoot-authoring-mcp. Use this tool when you need to capture and manage the foundational record of an agentic asset, including creation facts and metadata. It solves problems related to asset provenance and development by providing a single asset-record.json file. The tool takes in asset metadata and creation facts as input and outputs a finalized asset-record.json file, making it ideal for use during asset development and deployment.

Canonical page: https://skillsregistry.net/skills/settletop-inc-coderoot-authoring-mcp  
JSON: https://api.skillsregistry.net/v1/skills/settletop-inc-coderoot-authoring-mcp

## Description

Captures an agentic asset's foundational record as a single asset-record.json, including creation facts and author-only confirmed metadata. Provides MCP tools to record, read, and finalize provenance during asset development.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lzb0ct3re6)
- **Repository:** <https://github.com/SettleTop-Inc/CodeRoot-Authoring-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": "settletop-inc-coderoot-authoring-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/settletop-inc-coderoot-authoring-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/settletop-inc-coderoot-authoring-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