Google Ads MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Google Ads MCP List my accessible customers"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Google Ads MCP
An MCP server that lets an LLM agent operate Google Ads — both Search and App/UAC campaigns. It exposes read tools (GAQL) always, and guarded write tools behind a mutation flag.
Status: Phase 1 — reads only (
list_accessible_customers,search,describe_resource). Writes (budgets, campaigns, ad groups, keywords, ads, UAC) land in later phases behindADS_MCP_ENABLE_MUTATIONS.
Design principles: every change will be reversible, confirmable, account- and budget-scoped. Reads are always safe.
Requirements
Python 3.12+
uv(curl -LsSf https://astral.sh/uv/install.sh | sh)A Google Ads developer token, an OAuth2 client, and a refresh token.
Google Ads API version is pinned to v23 in
src/google_ads_mcp/config.py.
Related MCP server: Google Ads MCP Server
Install
uv sync --extra devGetting credentials
You need five values in a google-ads.yaml file (copy from
google-ads.yaml.example).
developer_token — Google Ads UI → Tools → API Center. Basic Access is enough (15k operations/day).
OAuth client (
client_id,client_secret) — Google Cloud Console → APIs & Services → Credentials → Create OAuth client ID → Desktop app. Enable the Google Ads API for the project first.refresh_token — generate once with the OAuth consent flow for scope
https://www.googleapis.com/auth/adwords. The official google-ads-python repo shipsgenerate_user_credentials.pyfor exactly this; run it with your client id/secret and paste the resulting refresh token.login_customer_id — your manager (MCC) account id without dashes. Omit if you authenticate directly against a single account.
Then:
cp google-ads.yaml.example google-ads.yaml # fill in real values (gitignored)
cp .env.example .env # set GOOGLE_ADS_CREDENTIALS to its path
export GOOGLE_ADS_CREDENTIALS="$PWD/google-ads.yaml"Secrets are never committed.
google-ads.yaml,.env, and*.audit.jsonlare gitignored.
Run
# stdio (default — what Claude Desktop uses)
uv run google-ads-mcp
# or HTTP (future Cloud Run hosting)
ADS_MCP_HTTP=true uv run google-ads-mcpConnect to Claude Desktop
Edit Claude Desktop's config file:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
Add an entry (use absolute paths):
{
"mcpServers": {
"google-ads": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/Google Ads MCP",
"run",
"google-ads-mcp"
],
"env": {
"GOOGLE_ADS_CREDENTIALS": "/absolute/path/to/Google Ads MCP/google-ads.yaml"
}
}
}
}If uv isn't on Claude Desktop's PATH, use its absolute path (which uv).
Restart Claude Desktop. The three read tools appear under the 🔌 connector menu.
First check
Ask Claude: "List my accessible Google Ads customers", then "Run this GAQL on account : SELECT campaign.id, campaign.name, campaign.status FROM campaign LIMIT 10".
Tools (Phase 1)
Tool | Description |
| Customer ids the auth user can access. |
| Execute a GAQL query. |
| Discover selectable/filterable fields for GAQL. |
All return a unified envelope: {status, dry_run, resource_name, diff, message, data}.
Safety flags (parsed now, enforced from Phase 2)
Env var | Default | Purpose |
|
| Master switch for all write tools. |
| (empty) | CSV allowlist of customer ids. |
|
| Budget/bid ceiling without |
|
| Mutations dry-run by default. |
|
| Applied-change log. |
Security model
Secrets never enter git.
google-ads.yaml,.env, and*.audit.jsonlare gitignored. The repo ships only*.examplefiles with placeholders. Account ids and app ids in tests are fake.Writes are off by default (
ADS_MCP_ENABLE_MUTATIONS=false).Allowlist — mutations are refused for any account outside
GOOGLE_ADS_ALLOWED_CUSTOMER_IDS. Reads are unaffected.Budget cap — a budget/bid above
GOOGLE_ADS_MAX_DAILY_BUDGET_USDis refused unless the call passesoverride=true.Two-key apply — a real change needs BOTH
validate_only=falseANDconfirm=true. Otherwise the tool returns the diff (validate_only) or a preview, applying nothing.New campaigns/ad groups/ads are created PAUSED — nothing serves until you deliberately enable it.
Audit log — every applied change (and every failure during apply) is appended to the JSONL audit log; dry-runs are not logged as applied.
Atomic batches — multi-operation tools (
manage_keywords,manage_negative_keywords) are all-or-nothing by design (nopartial_failure), so a batch never half-applies.
If a credential is ever exposed, rotate it: developer token in the Ads API Center, OAuth client secret in Google Cloud Console → Credentials.
Tests
uv run pytest # offline tests (no network); live calls need real credsRoadmap
✅ Skeleton + reads.
✅ Safety layer (validate_only wrapper, allowlist, budget guard, confirm, audit, error mapping) — see
safety.py,audit.py,tests/test_guardrails.py.✅ Search writes (budget → campaign → ad group → keywords/negatives → RSA → statuses) —
writes_common.py,writes_search.py. New campaigns/ad groups/ads are created PAUSED; live validate_only verified.✅ UAC writes (app campaign, app assets, target updates) —
writes_app.py. App campaigns created PAUSED; create_app_campaign structurally validated against the live API. Real apply + manage_app_assets verify on the final account (where the app is provisioned).✅ Hardening + packaging (green pytest suite, security model documented, secret scan, optional HTTP transport for Cloud Run).
Available Tools
3 toolsdescribe_resourceA
Discover selectable/filterable fields of a resource to help build GAQL.
Args: resource: A resource/metric/segment prefix, e.g. 'campaign', 'ad_group', 'metrics', 'segments'.
Inputs: resource (required).
list_accessible_customersA
List Google Ads customer ids the authenticated user can access.
Inputs: no named parameters.
searchA
Run a GAQL query against one account and return the matching rows.
Args: customer_id: Account id (dashes are stripped automatically). gaql: A Google Ads Query Language statement containing a SELECT clause. page_size: Max rows to return (default 1000). login_customer_id: Optional manager/login id for accounts not under the manager in google-ads.yaml. For a direct-access account, pass its own id here.
Inputs: gaql (required), customer_id (required), page_size, login_customer_id.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 3 tools
Each tool has a distinct purpose: listing accessible customers, running GAQL queries, and describing resource fields. No overlap in functionality.
All tool names follow a consistent verb_noun pattern: list_accessible_customers, search, describe_resource. Clear and predictable.
Three tools is on the lower end but still within the reasonable range for a focused query interface. The count is appropriate for the server's stated purpose.
The tools cover listing accounts and querying data, but lack create, update, or delete operations for Google Ads resources. This is a notable gap for a full API surface.
Maintenance
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