# CodexMCP

> Use this tool when you need to automate mechanical tasks such as generating boilerplate code, types, or summaries, while maintaining contextual reasoning. CodexMCP offloads output-heavy tasks to OpenAI, streamlining workflows and enhancing productivity. Ideal for use cases requiring efficient content generation and processing, with inputs including task specifications and outputs comprising generated code or text.

Canonical page: https://skillsregistry.net/skills/johanfj101-codexmcp  
JSON: https://api.skillsregistry.net/v1/skills/johanfj101-codexmcp

## Description

Enables Claude to offload mechanical, output-heavy tasks like boilerplate, type generation, and summarization to OpenAI while keeping reasoning in-context.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y6felk9g9u)
- **Repository:** <https://github.com/JohanFJ101/CodexMCP>

## 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": "johanfj101-codexmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/johanfj101-codexmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/johanfj101-codexmcp/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