MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Google Search Console MCP: search analytics, URL inspection, site management.
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.
GOOGLE_APPLICATION_CREDENTIALSYou 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": {
"google-gsc": {
"command": "npx",
"args": [
"-y",
"mcp-google-gsc"
],
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": "your-value"
}
}
}
}Run this in your terminal
claude mcp add google-gsc --env GOOGLE_APPLICATION_CREDENTIALS=your-value -- npx -y mcp-google-gscFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"google-gsc": {
"command": "npx",
"args": [
"-y",
"mcp-google-gsc"
],
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": "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": {
"google-gsc": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-google-gsc"
],
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": "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.
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 mharnett, 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.
You need to fill in: GOOGLE_APPLICATION_CREDENTIALS
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 (1.0.1) reached the registry 7 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.
MCP server for Google Search Console -- search analytics, URL inspection, and site management via Claude.
npm install mcp-google-gsc
git clone https://github.com/mharnett/mcp-search-console.git
cd mcp-google-gsc npm install npm run build
Security: Never share your .mcp.json file or commit it to git -- it may contain API credentials. Add .mcp.json to your .gitignore.
mcp-gsc supports two authentication modes. Pick whichever fits your setup. Neither requires any file living at a hardcoded machine-local path -- credentials come from environment variables (or a config.json you create).
Which mode to use:
Precedence when both are configured: if a service-account keyfile is explicitly set (GOOGLE_APPLICATION_CREDENTIALS, or credentials_file in config.json), it wins over any OAuth refresh token or stored OAuth credentials. If neither is configured, the server fails loudly at startup with an onboarding message rather than silently guessing -- there is no machine-local default and no silent runtime failover between modes.
Use this if you want to authorize with your own Google login (the account that has Search Console access). Best for personal / interactive use.
http://localhost loopback redirect -- you do not need to pre-register a port.) export GOOGLE_GSC_CLIENT_ID=...apps.googleusercontent.com
export GOOGLE_GSC_CLIENT_SECRET=...
3. Mint a refresh token (opens your browser, uses PKCE + `access_type=offline`):
node get-refresh-token.cjs
Do not redirect this command's stdout to a shared log -- it prints the refresh token to stdout by design.
export GOOGLE_GSC_REFRESH_TOKEN=...
The server reads GOOGLE_GSC_CLIENT_ID, GOOGLE_GSC_CLIENT_SECRET, and GOOGLE_GSC_REFRESH_TOKEN from the environment at runtime.
Alternatively, run the guided helper npx mcp-gsc-auth, which performs the same PKCE OAuth flow, lets you pick a default Search Console property, and writes the result to a per-user credentials file.
Use this for server / headless / always-on contexts -- it is the recommended path when no human is present to complete or refresh an interactive login.
export GOOGLE_APPLICATION_CREDENTIALS=/path/to/your/service-account-key.json
Both modes request a single, read-only scope: https://www.googleapis.com/auth/webmasters.readonly. All four tools are reads -- nothing writes -- so the server never asks for read/write access.
The scope is defined once in config.json under oauth.scope (see config.example.json). The OAuth helper and the runtime read the same value, so they never drift. If config.json is absent (e.g. a fresh install), the committed read-only default is used.
To map working directories to Search Console properties, create a config.json in the project root (see config.example.json):
{
"oauth": { "scope": "https://www.googleapis.com/auth/webmasters.readonly" }, "clients": { "my-project": { "name": "My Project", "folder": "/path/to/project", "site_url": "https://example.com/" } } }
Add to your Claude Code .mcp.json:
{
"mcpServers": { "gsc": { "command": "node", "args": ["/path/to/mcp-gsc/dist/index.js"] } } }
Or if installed globally:
{
"mcpServers": { "gsc": { "command": "npx", "args": ["mcp-google-gsc"] } } }
Claude Desktop: Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
| Tool | Description |
|---|---|
gsc_get_client_context | Detect the GSC property from your working directory based on config mapping |
gsc_list_sites | List all verified Search Console properties accessible to the authenticated account |
gsc_search_analytics | Query search performance data (clicks, impressions, CTR, position) with dimension and filter support |
gsc_inspection | Inspect a URL for indexing status, mobile usability, and rich results |
Supports dimensions: query, page, device, country, date. Filter by any dimension with operators like equals, contains, notContains. Date range defaults to the last 28 days.
Returns index coverage, crawl status, mobile usability verdict, and rich result details for a specific URL within a property.
MIT -- see LICENSE.
Built by Mark Harnett / drak-marketing