Google Ads MCP Server
Enables reading and writing the Google Ads API for full campaign management, with a dry-run/confirm safety flow on every write.
README
Google Ads MCP Server
A local MCP server for reading and writing the Google Ads API. Full campaign management with a dry-run/confirm safety flow on every write.
Prerequisites
- Google Ads Manager (MCC) account with a developer token.
Check its access level: Google Ads UI -> Tools & Settings -> Setup -> API Center.
- Test: can only call test accounts. Apply for Basic access to touch live accounts (approval can take a few days).
- Basic/Standard: ready for live accounts.
- A Google Cloud project with the Google Ads API enabled and an OAuth2 client of type Desktop app (gives you a client ID and client secret).
Setup
python -m venv .venv
. .venv/Scripts/activate # Windows PowerShell: .venv\Scripts\Activate.ps1
pip install -e ".[dev]"
# Mint a refresh token (one-off browser consent):
python scripts/generate_refresh_token.py --client-id XXX --client-secret YYY
cp .env.example .env # then fill in every value
If your OAuth consent screen is still in testing mode, add the Google account you sign in with as a test user first (Cloud Console -> APIs & Services -> OAuth consent screen -> Audience), otherwise consent fails with a verification error.
Once .env holds the client ID and secret, python scripts/remint_refresh_token.py
re-mints an expired or revoked refresh token and rewrites .env in place, without
printing the secret.
Never commit .env; it is gitignored, and it is the only place real credentials
should ever live.
.env keys: GOOGLE_ADS_DEVELOPER_TOKEN, GOOGLE_ADS_CLIENT_ID,
GOOGLE_ADS_CLIENT_SECRET, GOOGLE_ADS_REFRESH_TOKEN,
GOOGLE_ADS_LOGIN_CUSTOMER_ID (your MCC ID, dashes optional, shown
top-right in the Google Ads UI when logged into the manager account).
Run the tests
pip install -e ".[dev]"
pytest -v
Register with Claude Code
Use the venv's absolute python path so registration works regardless of which
directory Claude Code is launched from (the server also resolves .env from the
project root, not the cwd):
# Windows
claude mcp add google-ads -- "<REPO_PATH>\.venv\Scripts\python.exe" -m google_ads_mcp.server
# macOS / Linux
claude mcp add google-ads -- "<REPO_PATH>/.venv/bin/python" -m google_ads_mcp.server
Add --scope user to make the tools available in every project rather than just this one.
Write safety
Every write tool defaults to a preview: it validates the change with the API's
validate_only and returns a confirmation_token. To apply, call the same tool again
with commit=true and that token. The committed operation is byte-for-byte what was
previewed. Nothing spends money until you confirm.
Tools
Read: list_accounts, run_gaql, get_campaigns, get_ad_groups,
get_keywords, get_performance.
Write (preview -> confirm): create_campaign_budget, create_campaign,
update_budget, update_campaign_status, create_ad_group,
update_ad_group_status, create_responsive_search_ad, add_keywords,
add_negative_keywords, apply_mutate.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.