# SEO Check MCP

> Use this tool when you need to optimize digital content for search engines, as it provides comprehensive SEO analysis and actionable fix instructions. The SEO Check MCP tool solves problems related to content visibility, ranking, and online presence by analyzing inputs such as website content and metadata, and outputs detailed reports with recommendations. It is ideal for use in contexts where AI assistants like Claude Code and Claude Desktop require SEO guidance to improve content performance.

Canonical page: https://skillsregistry.net/skills/muningis-seo-check-mcp  
JSON: https://api.skillsregistry.net/v1/skills/muningis-seo-check-mcp

## Description

A Model Context Protocol (MCP) server that provides comprehensive SEO analysis tools with actionable fix instructions for AI assistants like Claude Code and Claude Desktop.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g1bnohkj3s)
- **Repository:** <https://github.com/muningis/seo-check-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": "muningis-seo-check-mcp"
    }
  }
}
```

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