The content-optimizer-mcp server is a free, self-contained SEO content optimization tool offering SERP-based analysis, content scoring, and actionable recommendations.
Score content (score_content): Evaluate content against a target keyword across 7 SEO categories (keyword usage, word count, heading structure, readability, entity coverage, content depth, internal structure), returning an overall 0–100 score with per-category breakdowns and recommendations.
Analyze keywords (analyze_keyword): Retrieve simulated SERP data for any keyword, including top 10 results with word counts, heading counts, common topics, and SERP features.
Get content recommendations (get_content_recommendations): Obtain a prioritized list of specific, actionable improvements to optimize content for a target keyword.
Check readability (check_readability): Analyze content via Flesch-Kincaid score, grade level, sentence statistics, and estimated reading time.
Find missing topics (find_missing_topics): Identify topics SERP competitors cover that your content lacks, along with covered topics and an overall coverage percentage.
Optimize headings (optimize_headings): Analyze heading hierarchy, detect structural issues, and receive a recommended keyword-rich heading outline.
Paid content optimization tools charge $89-$170/month for SERP-based scoring. Content Optimizer gives you the same analysis — for free, self-hosted, and extensible.
Feature | Content Optimizer | Surfer SEO | Clearscope | Frase |
Price | Free | $89/mo | $170/mo | $15/mo |
Self-hosted | :white_check_mark: | :x: | :x: | :x: |
Open source | :white_check_mark: | :x: | :x: | :x: |
Content scoring | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: |
Keyword analysis | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: |
Readability analysis | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: |
Heading optimization | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: |
Entity/topic coverage | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: |
MCP server | :white_check_mark: | :x: | :x: | :x: |
AI editor integration | :white_check_mark: | :x: | :x: | :x: |
API access | :white_check_mark: | Paid add-on | :x: | Paid add-on |
No data limits | :white_check_mark: | Credits-based | Credits-based | Credits-based |
Related MCP server: Fan Out Query MCP
:dart: Content Scoring — Score content 0-100 across 7 SEO categories with per-category breakdowns
:mag: SERP Analysis — Analyze top-ranking pages for word count, headings, and topic benchmarks
:abc: Readability Analysis — Flesch-Kincaid scoring, grade level, sentence length, reading time
:bookmark_tabs: Heading Optimization — Detect hierarchy issues, suggest keyword-rich heading structure
:brain: Entity Coverage — Find topics competitors cover that you're missing
:clipboard: Actionable Recommendations — Prioritized improvements ranked by impact
:robot: MCP Server — Use with Claude Desktop, Cursor, or any MCP-compatible AI tool
Category | Max Points | What It Measures |
Keyword Usage | 20 | Density, placement in first paragraph and headings |
Word Count | 15 | Content length vs SERP average and target |
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 |
100 |
Node.js 18+
npm 9+
git clone https://github.com/sharozdawa/content-optimizer.git
cd content-optimizer
npm installnpm run devOpen http://localhost:3000.
npm run build
npm startThe MCP server lets you use Content Optimizer directly inside AI coding tools like Claude Desktop and Cursor.
No setup required — just add the config:
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"content-optimizer": {
"command": "npx",
"args": ["-y", "content-optimizer-mcp"]
}
}
}Add to .cursor/mcp.json in your project:
{
"mcpServers": {
"content-optimizer": {
"command": "npx",
"args": ["-y", "content-optimizer-mcp"]
}
}
}cd mcp-server
npm install
npm run buildThen use node ./mcp-server/dist/index.js as the command in your MCP config.
Tool | Description |
| Score content against a keyword across 7 categories (0-100) |
| Analyze SERP data — top 10 results with word counts, headings, topics |
| Get prioritized improvement recommendations |
| Flesch-Kincaid score, grade level, sentence stats, reading time |
| Find topics from SERP competitors missing in your content |
| Analyze heading structure and suggest improvements |
Project | Description |
Generate structured data (JSON-LD) for any page — Product, Article, FAQ, HowTo, and more | |
Track how your brand appears in AI search engines (ChatGPT, Perplexity, Gemini) | |
Instantly notify search engines when you publish or update content | |
AI content humanizer — make AI-generated text sound natural |
Contributions are welcome! See CONTRIBUTING.md for guidelines.
MIT — see LICENSE for details.
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Six tools for SEO and AI-readability audits. 91 checks, 11 score modules.
Track keyword rankings, research SEO opportunities, and manage bisibility projects with AI agents.
Open-source SEO manager for coding agents: keyword research, content PRs, rank + Search Console.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/sharozdawa/content-optimizer'
If you have feedback or need assistance with the MCP directory API, please join our Discord server