MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
PageRankCafe MCP server: create and post ads, read performance, query platform insights.
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.
PAGERANKCAFE_API_KEY, PAGERANKCAFE_BASE_URLValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
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": {
"pagerankcafe": {
"command": "npx",
"args": [
"-y",
"pagerankcafe-mcp"
],
"env": {
"PAGERANKCAFE_API_KEY": "your-value",
"PAGERANKCAFE_BASE_URL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add pagerankcafe --env PAGERANKCAFE_API_KEY=your-value --env PAGERANKCAFE_BASE_URL=your-value -- npx -y pagerankcafe-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"pagerankcafe": {
"command": "npx",
"args": [
"-y",
"pagerankcafe-mcp"
],
"env": {
"PAGERANKCAFE_API_KEY": "your-value",
"PAGERANKCAFE_BASE_URL": "your-value"
}
}
}
}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": {
"pagerankcafe": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"pagerankcafe-mcp"
],
"env": {
"PAGERANKCAFE_API_KEY": "your-value",
"PAGERANKCAFE_BASE_URL": "your-value"
}
}
}
}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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
PAGERANKCAFE_BASE_URL envThese 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 against the domain pagerankcafe.com (the registry checks domain ownership)
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.
You need to fill in: PAGERANKCAFE_API_KEY
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 (0.1.3) reached the registry 2 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.
The marketing platform for your AI agents.
An MCP (Model Context Protocol) server for the PageRankCafe API. It gives an AI agent tools to read and post link ads, banner ads, YouTube video ads, and press releases/blog articles on PageRankCafe, check credit and referral balances, read per-placement performance, and (on paid tiers) pull platform-wide ad performance insights.
Account creation and key generation are both manual, human steps on the website — there is no programmatic signup.
The server reads its configuration from environment variables:
| Variable | Required | Default | Description |
|---|---|---|---|
PAGERANKCAFE_API_KEY | Yes | — | Your API key from /apiKeys. The server exits immediately with an error if this is not set. |
PAGERANKCAFE_BASE_URL | No | https://pagerankcafe.com | API base URL. Override only for testing against a non-production environment. |
Add to your claude_desktop_config.json:
{
"mcpServers": { "pagerankcafe": { "command": "npx", "args": ["-y", "pagerankcafe-mcp"], "env": { "PAGERANKCAFE_API_KEY": "your-api-key-here" } } } }
claude mcp add pagerankcafe --env PAGERANKCAFE_API_KEY=your-api-key-here -- npx -y pagerankcafe-mcp
Add to your Cursor MCP settings (~/.cursor/mcp.json or the project's .cursor/mcp.json):
{
"mcpServers": { "pagerankcafe": { "command": "npx", "args": ["-y", "pagerankcafe-mcp"], "env": { "PAGERANKCAFE_API_KEY": "your-api-key-here" } } } }
Every write tool and the insights tool require a paid membership (Bronze/Silver/Gold); the API returns an error for free accounts. Read tools work on any valid key, including free accounts.
| Tool | Membership | Description |
|---|---|---|
health | Free | Checks API connectivity and returns the authenticated user's username and membership status. |
list_links | Free | Lists your active link ads. |
list_banners | Free | Lists your active banner ads. |
list_youtube_ads | Free | Lists your active YouTube video ads. |
list_press_releases | Free | Lists your active press releases / blog articles. |
get_credits | Free | Returns your credit balance, available post slots, links viewed, and links remaining. |
get_referral_stats | Free | Returns your referral counts (today, 7 day, 30 day, all time). |
list_posts | Free | Returns per-placement performance for link, banner, YouTube, or press-release ads. |
upload_image | Paid | Uploads an image (local file path or base64) and returns a hosted HTTPS URL. |
create_banner | Paid | Creates a new banner ad. |
post_banner | Paid | Posts an existing banner into rotation using credits. |
create_youtube_ad | Paid | Creates a new YouTube video ad. |
update_youtube_ad | Paid | Partially updates an existing YouTube ad you own. |
create_press_release | Paid | Creates a new press release / blog article. |
update_press_release | Paid | Partially updates an existing press release you own. |
post_press_release | Paid | Posts an existing press release to the home-page widget using credits. |
create_link | Paid | Creates a new link ad. |
post_link | Paid | Posts an existing link ad into rotation using credits (free/credit posts only: ad_days must be 0; view_time/view_credits are derived server-side from icon/bold/double_time, not accepted as input). Returns status: "active" when the post goes live immediately, or status: "pending" (with an explanatory message) when the posting user needs approval first. |
get_platform_insights | Paid | Trailing-30-day platform performance aggregates by ad type and option, plus current prices. |
Full request/response detail for each underlying endpoint is in the OpenAPI spec at https://pagerankcafe.com/api/spec (rendered at https://pagerankcafe.com/api/docs).
Every tool returns the API's JSON response as the tool result on success. On a non-2xx API response, the tool returns an MCP tool error (isError: true) carrying the API's error message. There are no retries and no silent fallbacks — a failed call always surfaces as a failed tool call.
npm install
npm run build # compiles src/ to dist/ with tsc npm test # builds, then runs the stdio smoke test (no network required)
The test starts the built server as a subprocess over stdio (using StdioClientTransport from @modelcontextprotocol/sdk), lists its tools, and checks the full tool list is present — no real API key or network access is used.