Content Optimizer MCP Server

MCP server for content optimization — score content, analyze keywords, check readability, and get SEO recommendations.

Installation

Claude Desktop

Add to your claude_desktop_config.json:

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

Cursor

Add to your .cursor/mcp.json:

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

Build from Source

cd mcp-server
npm install
npm run build

Then point your MCP client to node ./mcp-server/dist/index.js.

Tools

| Tool | Description | |------|-------------| | score_content | Score content against a keyword across 7 SEO categories (0-100) | | analyze_keyword | Analyze simulated SERP data for a keyword — top 10 results with word counts, headings, topics | | get_content_recommendations | Get prioritized improvement recommendations for content | | check_readability | Analyze readability — Flesch-Kincaid score, grade level, sentence length, reading time | | find_missing_topics | Find topics from SERP competitors missing in your content | | optimize_headings | Analyze heading structure and suggest improvements |

Scoring Categories

| Category | Max Points | What It Measures | |----------|-----------|------------------| | Word Count | 15 | Content length vs target and SERP average | | Keyword Usage | 20 | Density, placement in first paragraph, headings | | Heading Structure | 15 | H1/H2/H3 hierarchy, count, keyword inclusion | | Readability | 15 | Flesch-Kincaid score, grade level | | Entity Coverage | 15 | Topic coverage vs SERP competitors | | Content Depth | 10 | Paragraphs, lists, statistics, data points | | Internal Structure | 10 | Introduction, conclusion, logical flow |

Total: 100 points

License

MIT