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SEO Optimizer MCP Server

SEO Optimizer — MCP Server

An MCP server that exposes a multi-agent SEO analysis toolkit to your own Claude client (Claude Code, Claude Desktop, Cursor, …): 12 specialist agents as prompts plus crawl/data tools (fetch_page, pagespeed, serp).

The reasoning runs on your own Claude (your subscription / login). You invoke a prompt, your Claude performs the analysis using these tools. No ANTHROPIC_API_KEY for the server, no central billing, no per-URL cost.

Ships as a single self-contained bundle (dist/index.js) — the only runtime dependencies are @modelcontextprotocol/sdk, zod, and cheerio.

What it provides

Tools (deterministic, no LLM):

Tool

Purpose

fetch_page(url)

Fetch a URL → cleaned, readable HTML

pagespeed(url, strategy)

PageSpeed/Lighthouse summary (Core Web Vitals + opportunities)

serp(keyword, location?, numResults?)

Organic search results — SerpAPI if SerpAPI_KEY is set, else a key-less DuckDuckGo lookup

Promptstechnical-auditor, page-speed, meta-optimizer, internal-link, semantic-content, cannibalization, competitor-gap, ai-visibility, company-intelligence, feedback-analyzer, geo, blog-writer, and seo-full-analysis (gathers evidence once, runs all 11 analysis lenses, then outputs a prioritized report).

Related MCP server: Rampify MCP Server

Install

Requires Node.js 18+. Pick whichever you prefer — both are one command, no clone, no file paths:

# From npm (after the package is published)
npx -y seo-optimizer-mcp

# …or straight from GitHub, no npm publish needed
npx -y github:emirhanyenici/SEO-Optimizer-MCP

npx installs the three deps on first run and caches them.

Claude Code

claude mcp add seo-optimizer -s user -- npx -y seo-optimizer-mcp
# or:  ... -- npx -y github:emirhanyenici/SEO-Optimizer-MCP
  • -s user makes it available in all your projects (use -s local for just the current one, or -s project to write a shared .mcp.json).

  • Add optional keys with -e SerpAPI_KEY=… -e GOOGLE_PAGESPEED_API_KEY=….

  • Verify with claude mcp list, or /mcp inside a session. The prompts appear as slash commands like /mcp__seo-optimizer__seo-full-analysis; the tools are available automatically.

Claude Desktop

Edit claude_desktop_config.json (Windows %APPDATA%\Claude\…, macOS ~/Library/Application Support/Claude/…):

{
  "mcpServers": {
    "seo-optimizer": {
      "command": "npx",
      "args": ["-y", "seo-optimizer-mcp"],
      "env": { "SerpAPI_KEY": "optional", "GOOGLE_PAGESPEED_API_KEY": "optional" }
    }
  }
}

Cursor

Add to .cursor/mcp.json (or global ~/.cursor/mcp.json):

{
  "mcpServers": {
    "seo-optimizer": { "command": "npx", "args": ["-y", "seo-optimizer-mcp"] }
  }
}

Environment variables (both optional)

Var

Used by

Notes

SerpAPI_KEY

serp

With it: SerpAPI (richer, location-aware). Without it: automatic DuckDuckGo fallback.

GOOGLE_PAGESPEED_API_KEY

pagespeed

Works without a key (public quota); a key raises the rate limit.

The server runs and every tool works with no env at all.

Usage

In your Claude client, pick a prompt — e.g. Full SEO Analysis — and pass url (required), keyword and competitorUrls (optional). Your Claude runs the analysis and returns an overall score + a prioritized action table + per-lens findings. All inference is billed to your account. For a single lens, invoke that specialist's prompt instead (e.g. page-speed); for an SEO article, invoke blog-writer.

Maintainers — building & releasing

The TypeScript source lives in the main SEO Optimizer project (it reuses that project's agent prompts and helpers). To cut a new release of this distributable:

# in the main project's mcp/ folder
npm run build      # esbuild → dist/index.js (self-contained)

Then publish/push the bundle:

npm publish                       # to npm  → users get `npx -y seo-optimizer-mcp`
# and/or push dist + package.json + README to the public repo for `npx github:…`
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