# SEO Inspector

> Use this tool when you need to analyze and optimize web pages for search engine visibility, as it scans HTML files and websites to identify critical SEO issues and provides detailed recommendations for improvement. It takes HTML strings or codebases as input and generates reports on missing titles, meta descriptions, and heading structures. Ideal for use when auditing website SEO, troubleshooting search engine ranking issues, or implementing structured data.

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

## Description

SEO Inspector MCP provides automated web page analysis for search engine optimization, scanning HTML files and websites to identify critical SEO issues like missing titles, meta descriptions, and heading structures. Built with Node.js and Cheerio, it offers tools to analyze individual HTML strings or entire codebases, generating detailed recommendations for improving search engine visibility and structured data implementation.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/seo-inspector)
- **Repository:** <https://github.com/mgsrevolver/seo-inspector-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": "seo-inspector"
    }
  }
}
```

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