# Dual-Model MCP Server

> Use this tool when you need to streamline software development by automating code generation and review. The Dual-Model MCP Server orchestrates a dual-model workflow, leveraging Claude Opus for high-level code generation and Codex for automated code review and bug fixing. It accepts software development tasks as input and outputs optimized, reviewed, and debugged code, ideal for use cases requiring rapid and reliable software development.

Canonical page: https://skillsregistry.net/skills/skewliness-claude-mcp  
JSON: https://api.skillsregistry.net/v1/skills/skewliness-claude-mcp

## Description

An MCP server that orchestrates a dual-model workflow using Claude Opus for high-level code generation and Codex for automated code review and bug fixing. It provides tools for framework design, task classification, and quality assurance to optimize software development.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-04-21

## Source

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

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