# Trae Rules Generator MCP

> Use this tool when you need to automate rule file generation and management for Trae AI projects, solving issues with manual rule creation and updates. It takes project type and features as input and outputs customized rule files, streamlining project setup and configuration. Ideal for Trae AI project development, this tool saves time and reduces errors in rule management.

Canonical page: https://skillsregistry.net/skills/xiaochenwin-trae-rules-mcp  
JSON: https://api.skillsregistry.net/v1/skills/xiaochenwin-trae-rules-mcp

## Description

An MCP service that automatically generates and manages rule files for Trae AI projects, allowing users to create, read, update, and customize project rules based on project type and features.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fyig9r7s3v)
- **Repository:** <https://github.com/xiaochenwin/trae-rules-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": "xiaochenwin-trae-rules-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiaochenwin-trae-rules-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiaochenwin-trae-rules-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