# codex-seo

> codex-seo — caffnoir59-codex-seo. Use this tool when you need to optimize web projects for search engines, as it provides comprehensive SEO audits, crawling, and performance analysis. It solves problems related to website visibility, ranking, and user experience by identifying areas for improvement and managing deployments. The tool accepts web project inputs and outputs actionable recommendations via a stdio MCP server interface.

Canonical page: https://skillsregistry.net/skills/caffnoir59-codex-seo  
JSON: https://api.skillsregistry.net/v1/skills/caffnoir59-codex-seo

## Description

Provides SEO audits, crawling, performance analysis, and deployment management for web projects via a stdio MCP server.

## 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:** devops-ci
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q669t3dq91)
- **Repository:** <https://github.com/CaffNoir59/codex-seo>

## 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": "caffnoir59-codex-seo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/caffnoir59-codex-seo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/caffnoir59-codex-seo/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