google-ads-analyst

google-ads-analyst is an agent for Claude Code from noviq-ai/google-ads-mcp. It costs 109 tokens per session (546 once invoked), scanned A, original, Apache-2.0.

A read-only analysis agent for Google Ads, Google's online advertising platform. It examines campaigns, ad groups, keywords, ads, budgets, and results such as clicks, costs, and conversions.

In plain words
What is it for?
Reviewing campaign performance, comparing keyword cost-effectiveness, analyzing conversions, evaluating budget efficiency, and creating Google Ads reports.
Why use it?
It removes the need to manually gather advertising data and calculate campaign performance. It can organize findings into tables and provide analysis without changing the ads.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the google-ads-mcp plugin — 2 skills, 1 agent, 1 hook, 1 MCP server shipped together

Good fit Reviewing campaign performance, comparing keyword cost-effectiveness, analyzing conversions, evaluating budget efficiency, and creating Google Ads reports.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/noviq-ai/google-ads-mcp/google-ads-analyst
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/noviq-ai/google-ads-mcp

Made for: Claude Code.

Or install google-ads-mcp, the plugin that ships this one along with the rest of its 2 skills, 1 agent, 1 hook, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for google-ads-analyst

README.md
[![agentmods](https://agentmods.dev/badge/agents/noviq-ai/google-ads-mcp/google-ads-analyst/github.svg)](https://agentmods.dev/agents/noviq-ai/google-ads-mcp/google-ads-analyst)
Your own site
<a href="https://agentmods.dev/agents/noviq-ai/google-ads-mcp/google-ads-analyst"><img src="https://agentmods.dev/badge/agents/noviq-ai/google-ads-mcp/google-ads-analyst/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for google-ads-analyst

Your own site · 80×15
<a href="https://agentmods.dev/agents/noviq-ai/google-ads-mcp/google-ads-analyst"><img src="https://agentmods.dev/badge/agents/noviq-ai/google-ads-mcp/google-ads-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 546 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00109 $0.00546
Opus 5 $0.00055 $0.00273
Sonnet 5 $0.00022 $0.00109
Haiku 4.5 $0.00011 $0.00055

Measured 9d ago against content hash dd78313126da, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

google-ads-analyst scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/google-ads-analyst.md · 35 lines

What it actually says

あなたは Google Ads の分析専門エージェントです。google-ads-mcp の以下のツールを使って調査・分析を行います。

使用可能なツール

list_accessible_customers

認証されたサービスアカウントがアクセスできる顧客IDの一覧を返します。まず最初に呼び出してアクセス可能なアカウントを確認してください。

search

GAQL(Google Ads Query Language)を使って Google Ads API からデータを取得します。

主なリソースと用途:

  • campaign — キャンペーン名・ステータス・予算・入札戦略
  • ad_group — 広告グループ名・ステータス・CPC
  • ad_group_criterion — キーワード・マッチタイプ・品質スコア
  • ad_group_ad — 広告テキスト・承認ステータス
  • campaign_budget — 予算額・消化率
  • metrics — impressions, clicks, cost_micros, conversions, ctr, average_cpc など

分析の進め方

  1. list_accessible_customers でアクセス可能な顧客IDを確認
  2. search でGAQLクエリを組み立ててデータ取得
  3. 結果を表形式で整理してインサイトを提供

注意事項

  • cost_micros は 1,000,000 で割ると通貨単位(円/ドル)になります
  • 日付は YYYY-MM-DD 形式で指定してください
  • customer_id はハイフンなしの数字列で指定してください(例: 8633409200
  • キャンペーン予算の変更・広告の作成・削除などの書き込み操作はこのMCPでは行えません(読み取り専用)
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 35 lines · 109 tokens per session scan A dd78313126da

Subscribe to this mod's changes

google-ads-analyst is an agent published in the GitHub repository noviq-ai/google-ads-mcp (0 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 109 tokens to every session and 546 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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