Marketing MCP

One MCP server that combines the full feature surface found across the public Google Ads / Keyword Planner / Meta Ads / GA4 MCP servers, across three platforms plus no-auth keyword research. Built so each platform is independent: the tools that need credentials report a clear setup error until those credentials are present, and the no-auth tools work with zero setup.

Quick start

macOS / Linux (needs Python 3.10+; on macOS brew install python@3.11):

git clone <REPO_URL> marketing-mcp
cd marketing-mcp
bash install.sh

Windows (needs Python 3.10+ from python.org):

git clone <REPO_URL> marketing-mcp
cd marketing-mcp
install.bat

The installer creates a .venv, installs the dependencies, and registers marketing-mcp into your Claude config (Claude Desktop if installed, and Claude Code). Restart Claude, then try a no-auth tool: "use autocomplete_suggestions for 'ppc agency'". Connecting Google Ads / Meta / GA4 is optional and covered in SETUP.md; copy .env.example to .env and the server auto-loads it.

To register without the installer (already have a venv or Python): python register.py.

Related MCP server: PaidSync (Ads analysis & Management)

Tools (30)

Keyword research (bulk + locations)

• keyword_research — one call: expand seed keywords and/or pull metrics for a keyword list, across many places at once, ranked by search volume and commercial intent, returned as CSV. Chunks under the API's 20-seed cap.

• resolve_locations — turn town/city/state names into Google Ads geo target ids with reach, so you target specific areas instead of the whole country

• add_location_set / list_location_sets — save a reusable named list of target areas; pass location_set="<name>" to the keyword tools

• keyword_ideas / keyword_historical_metrics also take locations / location_set

Clients (multi-account: granular + rollup)

• list_clients / add_client — register clients in clients.json, each with its Google Ads, Meta, and GA4 account ids

• clients_overview — per-client KPIs across all platforms plus a rolled-up total

• every reporting tool also takes a client argument to target one client

Keyword research

• keyword_ideas — ideas from seed words and/or a URL (volume, competition, bid range)

• keyword_historical_metrics — 12-month volume series + competition + bid range

• forecast_keywords — projected impressions / clicks / cost at a max CPC bid

• autocomplete_suggestions — Google Suggest completions (no auth)

• trend_index — Google Trends interest + top/rising related queries (pytrends)

• cluster_keywords — group a keyword list into themes (no auth)

Google Ads (reporting + management)

• list_ads_accounts — accessible customer ids

• ads_query — run any GAQL query (the full reporting surface)

• campaign_performance — per-campaign metrics over N days

• search_terms_report — search terms + metrics

• set_campaign_status — pause / enable a campaign

• set_campaign_budget — change a campaign budget amount

Meta Ads (reporting + management)

• meta_list_ad_accounts, meta_list_campaigns, meta_list_adsets, meta_list_ads

• meta_insights — spend / impressions / clicks / ctr / cpc / actions at any level

• meta_set_campaign_status — pause / activate a campaign

GA4 (analytics)

• ga4_run_report — any dimensions x metrics over a date range

• ga4_realtime — realtime report

• ga4_traffic_sources, ga4_top_pages — convenience reports

The three power tools (ads_query GAQL, meta_insights, ga4_run_report) expose each platform's whole API surface, so the server is not limited to the fixed convenience tools above.

Multiple clients

Define each client once in clients.json (copy clients.example.json) with its Google Ads customer id, Meta ad account id, and GA4 property id. Then:

• granular: pass client="acme" to any reporting tool (campaign_performance, meta_insights, ga4_run_report, etc.) to scope it to that client's accounts.

• rollup: clients_overview returns a per-client KPI row for every client plus a single rolled-up total across all of them.

A platform a client has not connected shows an *_error note in the rollup instead of a number, so a partially-configured client still reports. clients.json is gitignored, so client account ids never get committed.

Install

pip install -r requirements.txt

mcp and httpx cover the no-auth tools. google-ads, pytrends, and google-analytics-data are needed only for their respective platforms.

Setup

Copy .env.example to .env and fill only the platforms you use.

Google Ads — needs four OAuth values plus the account ids:

1. Apply for a developer token in the Google Ads account (API Center). Basic access is enough; the account needs a payment method on file.

2. Create an OAuth client (Desktop) in Google Cloud, then run the standard google-ads refresh-token flow to get GOOGLE_ADS_REFRESH_TOKEN.

3. Set GOOGLE_ADS_LOGIN_CUSTOMER_ID (manager/MCC) and GOOGLE_ADS_CUSTOMER_ID (the account to query), digits only. Note: without active ad spend, keyword volumes return as ranges, not exact numbers. Any minimal spend unlocks exact volumes.

Meta Ads — set META_ACCESS_TOKEN to a Marketing API token with ads_read (and ads_management for the pause/activate tools). System-user tokens are longest-lived; user tokens expire and need refresh.

GA4 — create a service account, download its JSON key, add the service account email as a Viewer on the GA4 property, and point GOOGLE_APPLICATION_CREDENTIALS at the JSON path.

Register with Claude Code / Claude Desktop

Add to your MCP config (.mcp.json or the desktop config), with the env block holding your credentials:

{
  "mcpServers": {
    "marketing-mcp": {
      "command": "python",
      "args": ["path/to/marketing-mcp/server.py"],
      "env": {
        "GOOGLE_ADS_DEVELOPER_TOKEN": "...",
        "GOOGLE_ADS_CLIENT_ID": "...",
        "GOOGLE_ADS_CLIENT_SECRET": "...",
        "GOOGLE_ADS_REFRESH_TOKEN": "...",
        "GOOGLE_ADS_LOGIN_CUSTOMER_ID": "...",
        "GOOGLE_ADS_CUSTOMER_ID": "...",
        "META_ACCESS_TOKEN": "...",
        "GOOGLE_APPLICATION_CREDENTIALS": "C:/path/to/ga4-service-account.json"
      }
    }
  }
}

The no-auth tools (autocomplete_suggestions, cluster_keywords) work even with an empty env block.

Notes

• The Google Ads tools target the google-ads Python library v24+ (API v17+). The forecast tool uses generate_keyword_forecast_metrics; if your library version differs, the API error message will say so.

• Meta uses the Graph API v20.0 directly over HTTPS, so it needs only a token, no SDK.