MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Dry-run-first Google Ads search-term intent analyzer and negative-keyword MCP for agents.
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_ADS_DEVELOPER_TOKEN, GOOGLE_ADS_CLIENT_ID, GOOGLE_ADS_CLIENT_SECRET, GOOGLE_ADS_REFRESH_TOKEN, GOOGLE_ADS_CUSTOMER_IDValues 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": {
"google-ads-intent": {
"command": "uvx",
"args": [
"google-ads-intent-mcp"
],
"env": {
"GOOGLE_ADS_DEVELOPER_TOKEN": "your-value",
"GOOGLE_ADS_CLIENT_ID": "your-value",
"GOOGLE_ADS_CLIENT_SECRET": "your-value",
"GOOGLE_ADS_REFRESH_TOKEN": "your-value",
"GOOGLE_ADS_CUSTOMER_ID": "your-value"
}
}
}
}Run this in your terminal
claude mcp add google-ads-intent --env GOOGLE_ADS_DEVELOPER_TOKEN=your-value --env GOOGLE_ADS_CLIENT_ID=your-value --env GOOGLE_ADS_CLIENT_SECRET=your-value --env GOOGLE_ADS_REFRESH_TOKEN=your-value --env GOOGLE_ADS_CUSTOMER_ID=your-value -- uvx google-ads-intent-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"google-ads-intent": {
"command": "uvx",
"args": [
"google-ads-intent-mcp"
],
"env": {
"GOOGLE_ADS_DEVELOPER_TOKEN": "your-value",
"GOOGLE_ADS_CLIENT_ID": "your-value",
"GOOGLE_ADS_CLIENT_SECRET": "your-value",
"GOOGLE_ADS_REFRESH_TOKEN": "your-value",
"GOOGLE_ADS_CUSTOMER_ID": "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-ads-intent": {
"type": "stdio",
"command": "uvx",
"args": [
"google-ads-intent-mcp"
],
"env": {
"GOOGLE_ADS_DEVELOPER_TOKEN": "your-value",
"GOOGLE_ADS_CLIENT_ID": "your-value",
"GOOGLE_ADS_CLIENT_SECRET": "your-value",
"GOOGLE_ADS_REFRESH_TOKEN": "your-value",
"GOOGLE_ADS_CUSTOMER_ID": "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.
GOOGLE_ADS_CLIENT_ID envGOOGLE_ADS_CUSTOMER_ID 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 8, 2026
The registry name was verified with the GitHub account davidmosiah, 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_ADS_DEVELOPER_TOKEN, GOOGLE_ADS_CLIENT_SECRET, GOOGLE_ADS_REFRESH_TOKEN
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 (0.1.1) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) 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.
Google Ads Intent MCP
Dry-run-first Google Ads search-term intent analyzer + negative-keyword MCP for agents. Look at search terms safely before spending budget.
mcp-name: io.github.davidmosiah/google-ads-intent-mcp
⭐ If this agent-first tool helps your workflow, please star the repo. Stars make this tooling easier for other builders to discover and help Delx keep shipping open infrastructure.
🧱 Part of the Delx agent stack — 15 open-source MCP servers across body, reach and coordination.
Dry-run-first Google Ads search-term intent analyzer for agents. It helps Codex, Claude, Cursor, Hermes, OpenClaw and other MCP clients classify search terms, protect buyer intent and draft negative-keyword plans from CSV exports before any live account change.
Use it when an agent needs to reduce wasted spend without accidentally excluding buyer-intent queries.
Not shipped. Optional FastMCP extra is stdio-only (same skip as delx-agent-utilities: no /health without extra Starlette routes). Dry-run analysis stays request-stateless over stdio.
Google Ads cleanup is risky when agents act directly on accounts. This package makes the safe path the default:
manifest, connection_status and privacy_audit before action toolspipx install google-ads-intent-mcp
With MCP support:
pipx install "google-ads-intent-mcp[mcp]"
Published on PyPI: google-ads-intent-mcp. Release automation uses PyPI Trusted Publishing, so GitHub Actions can publish future versions without long-lived PyPI tokens. See docs/pypi-publishing.md.
google-ads-intent manifest --client codex
google-ads-intent doctor google-ads-intent privacy-audit google-ads-intent classify "free robux generator no verification" google-ads-intent analyze-csv --csv examples/search_terms.csv google-ads-intent plan-negatives --csv examples/search_terms.csv
The classifier is a deterministic, dependency-free heuristic with broad, cross-vertical signal coverage (ecommerce, B2B/SaaS, local services, health, finance, education and more) — not just gaming traffic. It sorts each search term into waste, buyer, research or competitor intent and protects converting queries from being flagged as negatives.
An optional LLM/embeddings-backed refinement path is available and is off by default. It requires no extra dependencies or API keys for normal use, and always falls back to the heuristic when no backend is configured:
# Opt in via flag (falls back to the heuristic if nothing is configured)
google-ads-intent --llm classify "crm software pricing"
GOOGLE_ADS_INTENT_LLM=1 google-ads-intent analyze-csv --csv export.csv
To actually call a backend, set OPENAI_API_KEY (and optionally GOOGLE_ADS_INTENT_LLM_MODEL, default gpt-4o-mini) and install the openai package. Without those, --llm is a no-op that keeps the heuristic result. Each classification reports which path produced it via a source (heuristic or llm) field.
google-ads-intent-mcp
Hermes-style config:
mcp_servers:
google_ads_intent: command: google-ads-intent-mcp args: [] sampling: enabled: false
Recommended first calls:
google_ads_connection_statusgoogle_ads_privacy_auditgoogle_ads_analyze_search_termsgoogle_ads_build_negative_plan| Tool | Purpose |
|---|---|
google_ads_agent_manifest | Install/runtime guidance for agent clients |
google_ads_connection_status | CSV/API readiness without credentials |
google_ads_privacy_audit | Dry-run, account and export boundaries |
google_ads_classify_search_term | Single-query intent classification |
google_ads_analyze_search_terms | Batch CSV-style analysis |
google_ads_build_negative_plan | Dry-run negative keyword plan |
Use google-ads-intent-mcp. First call google_ads_connection_status and google_ads_privacy_audit.
Analyze the search terms, protect buyer/conversion queries, and return a dry-run negative plan only.
The parser accepts common exported columns such as:
search_term, Search term, Querycost, Cost, cost_microsclicks, Clicksconversions, Conversions, Conv.impressions, Impr., Impressionspython3 -m venv .venv
. .venv/bin/activate pip install -e ".[dev]" pytest python -m compileall -q src