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.
git clone --depth 1 https://github.com/noviq-ai/google-ads-mcpWrote 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.
[](https://agentmods.dev/agents/noviq-ai/google-ads-mcp/google-ads-analyst)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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・CPCad_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
list_accessible_customersでアクセス可能な顧客IDを確認searchでGAQLクエリを組み立ててデータ取得- 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)
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.
- 9d ago First seen · 35 lines · 109 tokens per session scan A dd78313126da
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.
Other agents, from other repositories
performance-marketing-agent
Brand-specific performance marketing agent. Connects to Adspirer MCP for live ad platform data, bootstraps brand workspaces, and manages campaigns across Google Ads, Meta Ads, Amazon Ads, ChatGPT Ads, LinkedIn Ads, and TikTok Ads with brand awareness and persistent memory.
aladdin
Aladdin — Shopping campaigns and Performance Max specialist. Use for product feed analysis, asset group management, listing groups, and PMax-specific insights.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.