MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
SERP-based content scoring and optimization with 7 SEO categories.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"content-optimizer": {
"command": "npx",
"args": [
"-y",
"content-optimizer-mcp"
]
}
}
}Run this in your terminal
claude mcp add content-optimizer -- npx -y content-optimizer-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"content-optimizer": {
"command": "npx",
"args": [
"-y",
"content-optimizer-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"content-optimizer": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"content-optimizer-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account sharozdawa, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 8 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
SERP-based content scoring, entity analysis, and actionable SEO recommendations.
Score your content against top-ranking pages. Know exactly what to improve.
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 |
: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 |
Screenshots coming soon — the web UI is under active development.
git clone https://github.com/sharozdawa/content-optimizer.git
cd content-optimizer npm install
npm run dev
Open http://localhost:3000.
npm run build
npm start
The 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 build
Then use node ./mcp-server/dist/index.js as the command in your MCP config.
| Tool | Description |
|---|---|
score_content | Score content against a keyword across 7 categories (0-100) |
analyze_keyword | Analyze SERP data — top 10 results with word counts, headings, topics |
get_content_recommendations | Get prioritized improvement recommendations |
check_readability | Flesch-Kincaid score, grade level, sentence stats, reading time |
find_missing_topics | Find topics from SERP competitors missing in your content |
optimize_headings | Analyze heading structure and suggest improvements |
| Project | Description |
|---|---|
| [Schema Generator](https://github.com/sharozdawa/schema-gen) | Generate structured data (JSON-LD) for any page — Product, Article, FAQ, HowTo, and more |
| [AI Visibility](https://github.com/sharozdawa/ai-visibility) | Track how your brand appears in AI search engines (ChatGPT, Perplexity, Gemini) |
| [IndexNow MCP](https://github.com/sharozdawa/indexnow-mcp) | Instantly notify search engines when you publish or update content |
| [HumanPen](https://github.com/sharozdawa/humanpen) | AI content humanizer — make AI-generated text sound natural |
Contributions are welcome! See CONTRIBUTING.md for guidelines.
MIT — see LICENSE for details.
Built by Sharoz Dawa