Google Ads MCP Pro

Google Ads MCP Pro

A Model Context Protocol server providing full read and write control over Google Ads, enabling AI assistants to build campaigns, fix targeting, rewrite ads, and manage bidding strategies without opening a browser.

Category
访问服务器

README

<div align="center">

Google Ads MCP Pro

Stop reading dashboards. Start changing them.

A Model Context Protocol server that gives your AI assistant full read and write control over Google Ads — build campaigns, fix targeting leaks, rewrite ads, and switch bidding strategies without ever opening the browser.

License: MIT Python 3.11+ Google Ads API MCP Tools

</div>


Why this exists

Most Google Ads MCP servers are read-only. They tell you your CPC went up. They can't lower it.

This one closes the loop:

"Impression share is 12%. Why?"
  → queries the API, finds 80% lost to budget

"Fix it."
  → creates a dedicated budget, relinks the campaign,
    switches to Maximize Conversions, verifies the change

That whole exchange happens in chat. No browser. No clicking through six settings screens.

Real story: this fork was built while managing a live account. It found a campaign silently locked out of smart bidding by a shared-budget flag, a geo-targeting setting leaking spend to three foreign countries, and a sitelink contradicting the site's own lead flow — then fixed all three through the API. Read-only tooling would have surfaced none of it.


What you can actually do

Ask your assistant What happens
"Build a search campaign for my new service" Budget → campaign → ad group → keywords → RSA → sitelinks, in one pass
"We're wasting money on competitor searches" Pulls the search-terms report, adds negative keywords
"Only show my ads to people physically in Jordan" Flips geo targeting to PRESENCE (the leak most accounts never notice)
"This ad's strength is Average — improve it" Rewrites headlines and descriptions in place
"Switch to smart bidding" Handles the shared-budget blocker, then switches strategy
"Which niches are worth entering?" Keyword Planner volumes, competition, and top-of-page CPC
"Upload the leads that became paying clients" Offline conversion upload by GCLID

Every write tool supports validate_only — a real dry run against Google's API that validates without applying. Ask for a preview before anything touches a live account.


Quick start

1. Requirements

  • Python 3.11+
  • A Google Ads developer token (apply here)
  • OAuth desktop credentials from Google Cloud Console

2. Install

git clone https://github.com/saifshabsug/google-ads-mcp-pro.git
cd google-ads-mcp-pro
pip install -r requirements.txt

3. Configure

cp .env.example .env
GOOGLE_ADS_DEVELOPER_TOKEN=your_developer_token
GOOGLE_ADS_CLIENT_ID=your_oauth_client_id
GOOGLE_ADS_CLIENT_SECRET=your_oauth_client_secret
GOOGLE_ADS_LOGIN_CUSTOMER_ID=1234567890   # your MCC, digits only
GOOGLE_ADS_CREDENTIALS_PATH=./credentials.json
GOOGLE_ADS_AUTH_TYPE=oauth

4. Register with your MCP client

<details> <summary><b>Claude Code</b></summary>

claude mcp add google-ads -- python /full/path/to/google_ads_server.py

</details>

<details> <summary><b>Claude Desktop</b> — <code>claude_desktop_config.json</code></summary>

{
  "mcpServers": {
    "google-ads": {
      "command": "python",
      "args": ["/full/path/to/google_ads_server.py"],
      "env": {
        "GOOGLE_ADS_DEVELOPER_TOKEN": "...",
        "GOOGLE_ADS_CLIENT_ID": "...",
        "GOOGLE_ADS_CLIENT_SECRET": "...",
        "GOOGLE_ADS_LOGIN_CUSTOMER_ID": "...",
        "GOOGLE_ADS_CREDENTIALS_PATH": "/full/path/to/credentials.json",
        "GOOGLE_ADS_AUTH_TYPE": "oauth"
      }
    }
  }
}

</details>

First run opens a browser for OAuth consent and caches the token.


🧰 The 43 tools

<details open> <summary><b>Read & analyze</b> (12)</summary>

list_accounts · get_account_currency · get_campaign_performance · get_ad_performance · get_ad_creatives · run_gaql · execute_gaql_query · list_resources · get_image_assets · download_image_asset · analyze_image_assets · get_asset_usage </details>

<details> <summary><b>Build campaigns</b> (6)</summary>

create_campaign_budget · create_search_campaign · create_ad_group · create_responsive_search_ad · add_keywords · add_location_targeting </details>

<details> <summary><b>Change live settings</b> (11)</summary>

update_campaign_status · update_campaign_name · update_campaign_budget_amount · update_campaign_budget_link · update_campaign_bidding · update_campaign_geo_target_type · update_ad_group_bid · update_ad_status · update_responsive_search_ad · update_keyword_status · set_device_bid_modifier </details>

<details> <summary><b>Stop waste</b> (2)</summary>

add_negative_keywords · add_ad_group_negative_keywords </details>

<details> <summary><b>Ad assets</b> (6)</summary>

add_call_asset · add_sitelinks · add_callouts · add_structured_snippet · add_ad_group_sitelinks · add_ad_group_callouts · remove_campaign_asset </details>

<details> <summary><b>Conversions</b> (3)</summary>

create_conversion_action · update_conversion_action · upload_click_conversion </details>

<details> <summary><b>Planning</b> (2)</summary>

generate_keyword_ideas · set_ad_schedule </details>


Hard-won gotchas

Things the API docs bury, discovered by hitting them in production:

Symptom Cause Fix
BIDDING_STRATEGY_TYPE_INCOMPATIBLE_WITH_SHARED_BUDGET Smart bidding is rejected on any explicitly_shared budget — even one used by a single campaign create_campaign_budget here forces explicitly_shared: false; use update_campaign_budget_link to move an existing campaign
FIELD_HAS_SUBFIELDS when switching bidding Bidding strategies are messages; the field mask must name a subfield Use maximize_conversions.target_cpa_micros, not maximize_conversions
Spend leaking to other countries Campaigns default to PRESENCE_OR_INTEREST — it targets people merely interested in your region update_campaign_geo_target_type → PRESENCE
CANT_UPDATE_NEGATIVE on a keyword It's an ad-group negative, not a positive keyword Remove and re-add instead
LAST_3_DAYS rejected in GAQL Not a valid date literal Use BETWEEN 'YYYY-MM-DD' AND 'YYYY-MM-DD'

⚠️ Safety

This server writes to live advertising accounts that spend real money.

  • Start with validate_only=true on anything you haven't run before
  • Test against a low-budget or paused campaign first
  • credentials.json and .env are gitignored — keep it that way
  • Developer tokens under Test Access only reach test accounts; Basic Access is needed for production

Provided as-is under MIT. You are responsible for what runs against your account.


Credits

Built on the excellent cohnen/mcp-google-ads by Ernesto Cohnen (ixigo), which provided the read/reporting foundation and OAuth handling. This fork keeps all of it and adds 31 write tools, the Google Ads API v24 upgrade, validate_only dry-run support across every mutation, and the production fixes above.

MIT licensed, original copyright preserved — see LICENSE.

Contributing

Issues and PRs welcome. Especially valuable:

  • New write tools (audiences, experiments, Performance Max)
  • Additional gotchas for the table above
  • Tests against sandbox accounts

<div align="center">

Maintained by Saif Shabsug — software consultancy, Amman

If this saved you a browser session, a ⭐ helps others find it.

</div>

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选