MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Google Analytics 4 MCP: reports, realtime data, custom dimensions, data streams.
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.
GA4_PROPERTY_ID, 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": {
"ga4": {
"command": "npx",
"args": [
"-y",
"mcp-ga4"
],
"env": {
"GA4_PROPERTY_ID": "your-value",
"GOOGLE_APPLICATION_CREDENTIALS": "your-value"
}
}
}
}Run this in your terminal
claude mcp add ga4 --env GA4_PROPERTY_ID=your-value --env GOOGLE_APPLICATION_CREDENTIALS=your-value -- npx -y mcp-ga4Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ga4": {
"command": "npx",
"args": [
"-y",
"mcp-ga4"
],
"env": {
"GA4_PROPERTY_ID": "your-value",
"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": {
"ga4": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-ga4"
],
"env": {
"GA4_PROPERTY_ID": "your-value",
"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: GA4_PROPERTY_ID, 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 (2.0.1) 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 Analytics 4 -- run reports, realtime data, custom dimensions, and property management via Claude.
# service account
npx -p mcp-ga4 mcp-ga4-setup --property-id 123456789 --credentials /path/to/service-account.json
npx -p mcp-ga4 mcp-ga4-setup --property-id 123456789
The wizard detects Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows) and the Claude Code CLI (claude on PATH) and registers ga4 with each one it finds. Other servers and settings in the Desktop config are preserved; an invalid config file is left untouched and the wizard stops. Re-running is safe. Use --claude-desktop-only or --claude-code-only to target one client.
claude session.npm install mcp-ga4
Or clone the repository:
git clone https://github.com/mharnett/mcp-ga4.git
cd mcp-ga4 npm install npm run build
mcp-ga4 supports two credential families. Selection is deterministic and happens once, at startup: an explicit keyfile / service account wins, then user OAuth, and if neither is configured the server exits with a loud onboarding error naming both options. There is no machine-local credentials path baked into the code and no silent runtime failover -- the only credential inputs are environment variables and (optionally) your own per-user config.json. (A later 403 therefore surfaces as the API error, not as a silent switch to the other credential family.)
Precedence: when both families are configured, the **keyfile /
service account takes precedence** over user OAuth.
Use this for any always-on or server deployment. Point GOOGLE_APPLICATION_CREDENTIALS (or config.json credentials_file) at a JSON keyfile. The service account must be granted access on the GA4 property (Admin → Property Access Management → add the service-account email with at least Viewer). No refresh token is involved -- the server hands the keyfile to the GA4 SDKs directly:
GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json
The keyfile may be a real service-account key or an authorized_user OAuth token dump -- both are accepted via the keyFile option.
Use this if you want the server to act as a Google user (your own GA4 login). You bring your own Google OAuth client and mint a refresh token once.
export GA4_CLIENT_ID=... # from the Desktop-app client
export GA4_CLIENT_SECRET=... node get-refresh-token.cjs # or: npm run auth
Do not redirect this command's stdout to a shared log -- the refresh
token is printed there by design.
GA4_REFRESH_TOKEN=... into your environment. At runtime the server reads these three env vars: GA4_CLIENT_ID=...
GA4_CLIENT_SECRET=... GA4_REFRESH_TOKEN=...
The scope requested is read from config.json oauth.scope (see below), so the helper and the running server never disagree on what you granted.
Scopes live in config.json under oauth.scope. The committed default is:
https://www.googleapis.com/auth/analytics.readonly
https://www.googleapis.com/auth/analytics.edit
analytics.edit is required because ga4_create_custom_dimension mutates the property via the Admin API. If you only need read access, override oauth.scope in your own config.json to analytics.readonly alone and re-run the helper.
Security: Never share your .mcp.json file or commit it to git -- it may contain API credentials. Add .mcp.json to your .gitignore.
Set a property ID plus one of the auth families above:
GA4_PROPERTY_ID=123456789
Create a config.json in the project root to map multiple GA4 properties to project directories. The server auto-detects which property to use based on the caller's working directory. Credentials come from the environment (Option A/B above); config.json may optionally carry a credentials_file service-account path for a config-only SA setup.
{
"oauth": { "scope": "https://www.googleapis.com/auth/analytics.readonly https://www.googleapis.com/auth/analytics.edit" }, "clients": { "client-a": { "name": "Client A", "folder": "/path/to/client-a/project", "property_id": "123456789" }, "client-b": { "name": "Client B", "folder": "/path/to/client-b/project", "property_id": "987654321" } } }
mcp-ga4-setup (see Quick start) writes this for you. To manage the entry by hand, the single-property shape is:
{
"mcpServers": { "ga4": { "command": "npx", "args": ["mcp-ga4"], "env": { "GA4_PROPERTY_ID": "123456789", "GOOGLE_APPLICATION_CREDENTIALS": "/path/to/credentials.json" } } } }
Multi-client mode:
{
"mcpServers": { "ga4": { "command": "node", "args": ["/path/to/mcp-ga4/dist/index.js"] } } }
The same mcpServers shape is used by Claude Code project configs and by Claude Desktop's claude_desktop_config.json.
Top pages: dimensions=pagePath, metrics=screenPageViews, order_by=screenPageViews
Traffic sources: dimensions=sessionSource,sessionMedium, metrics=sessions,totalUsers
Daily trend: dimensions=date, metrics=sessions,totalUsers
Campaign performance: dimensions=sessionCampaignName, metrics=sessions,conversions
Device breakdown: dimensions=deviceCategory, metrics=sessions,totalUsers
| Tool | Description |
|---|---|
ga4_get_client_context | Returns the active GA4 property ID and client name |
ga4_run_report | Run a standard GA4 report with dimensions, metrics, date range, and filters |
ga4_realtime_report | Query realtime data (last 30 minutes) |
ga4_list_custom_dimensions | List all custom dimensions for the property |
ga4_create_custom_dimension | Create a new custom dimension |
ga4_list_custom_metrics | List all custom metrics for the property |
ga4_list_data_streams | List web/app data streams and their measurement IDs |
ga4_send_feedback | Submit feedback on a query result |
ga4_suggest_improvement | Suggest a new query pattern or improvement |
Use YYYY-MM-DD for absolute dates, or these relative shortcuts:
todayyesterday7daysAgo30daysAgo90daysAgoDimensions: date, dateHour, eventName, pagePath, pageTitle, sessionSource, sessionMedium, sessionCampaignName, country, city, deviceCategory, browser, operatingSystem, landingPage, pageReferrer, newVsReturning, firstUserSource, firstUserMedium, firstUserCampaignName
Metrics: sessions, totalUsers, newUsers, activeUsers, screenPageViews, eventCount, conversions, engagedSessions, engagementRate, averageSessionDuration, bounceRate, sessionsPerUser, screenPageViewsPerSession, userEngagementDuration
Built on:
@google-analytics/data -- GA4 Data API for reports@google-analytics/admin -- GA4 Admin API for property managementcockatiel -- resilience (retry, circuit breaker)pino -- structured loggingMIT
Built by Mark Harnett / drak-marketing