# seo-stack-mcp

> seo-stack-mcp — raffaele86-seo-stack-mcp. Use this tool when you need to integrate and analyze SEO data from multiple sources, such as Google Search Console and Bing Webmaster Tools, to identify optimization opportunities and improve website performance. It solves problems like data fragmentation and manual analysis, providing inputs like website traffic and search query data, and outputs like actionable insights and recommendations. Ideal for use in digital marketing and e-commerce contexts where data-driven SEO decisions are crucial.

Canonical page: https://skillsregistry.net/skills/raffaele86-seo-stack-mcp  
JSON: https://api.skillsregistry.net/v1/skills/raffaele86-seo-stack-mcp

## Description

The complete open-source SEO data stack for AI agents, integrating Google Search Console, Google Analytics 4, Bing Webmaster Tools, and Microsoft Clarity with built-in analyst tools like cannibalization check, low-hanging fruit, and content gap analysis, all self-hosted and free.

## Trust

- **Trust score (0–1):** 0.67
- **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/wc3pz412l8)
- **Repository:** <https://github.com/Raffaele86/seo-stack-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": "raffaele86-seo-stack-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raffaele86-seo-stack-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raffaele86-seo-stack-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