Campaign data as MCP queries.

What you can do via MCP

Example prompts the agent runs.

• “List all my accessible Google Ads accounts.”

  Calls list_accessible_customers via the official MCP and returns the customer IDs and names the agent has access to.

• “Show me last week's spend by campaign in account 1234567890.”

  Generates a GAQL query against the campaign resource, executes via the search tool, and returns spend grouped by campaign.

• “Find search terms with high impression share but low conversion rate.”

  Builds a GAQL query joining search_term_view and metrics, filters by impression share and conversion rate thresholds, and returns the underperforming terms.

• “Pull the QualityScore distribution for campaign Search-Brand-EN.”

  Queries keyword_view filtered by campaign, aggregates by quality_score, and returns the distribution with rationale tags.

• “Generate a GAQL query that returns top 20 keywords by cost per conversion.”

  Outputs the GAQL syntax with appropriate metrics, segments, and ORDER BY plus LIMIT clauses; the user can run it directly in Google Ads.

# Google Ads MCP, called via the agent runtime
mcp.google_ads.search({
  customer_id: "1234567890",
  query: `
    SELECT
      campaign.name,
      metrics.cost_micros,
      metrics.clicks,
      metrics.conversions,
      metrics.average_cpc
    FROM campaign
    WHERE segments.date DURING LAST_7_DAYS
    ORDER BY metrics.cost_micros DESC
  `
})

# Returns campaign rows with spend, clicks, conversions, and CPC.

Visual demonstration

What this looks like in practice.

Pairs with these skills

The marketing skill suite.

This integration pairs with the forthcoming paid-media-strategy, ads-performance-analytics skills. The skill landing pages and SKILL.md sources land in subsequent dispatches; cross-link hyperlinks are added when the skill pages ship.