# MCP Codex Worker

> Use this tool when you need to efficiently process large amounts of code, such as reading, patching, and testing, and require a cost-effective solution with compact results. The MCP Codex Worker delegates tasks to an async worker using cheaper AI models, streamlining code processing and providing concise outputs. Ideal for use cases where bulk code analysis is necessary, such as in software development and maintenance projects.

Canonical page: https://skillsregistry.net/skills/sorryorc-mcp-codex-worker  
JSON: https://api.skillsregistry.net/v1/skills/sorryorc-mcp-codex-worker

## Description

Enables Codex to delegate bulk code reading, patching, and testing to an async worker using cheaper AI models, while receiving compact results.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pjxqxif1ij)
- **Repository:** <https://github.com/sorryorc/mcp-codex-worker>

## 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": "sorryorc-mcp-codex-worker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sorryorc-mcp-codex-worker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sorryorc-mcp-codex-worker/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