Google Ads Transparency MCP: Competitor Ads
概览
作者提供的说明(英文原文)
Competitor Google ads from the Ads Transparency Center: new, running and stopped, with shown dates.
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它能帮你做什么
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
- 连接方式: 电脑或云端
- 传输方式: stdio, Streamable HTTP
- 分类: 营销与社交媒体
- 你需要填写:APIFY_TOKEN, Authorization
安装
选择你使用的 AI 应用,然后复制设置。
安装之前
- 基础检查:3 项中通过 3 项
- 在作者的服务器上运行:你向它提出的内容会经过他们的服务器。
- 需要你自己填写:
APIFY_TOKEN,Authorization
标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
或者在你的电脑上运行
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"google-ads-transparency": {
"command": "uvx",
"args": [
"google-ads-transparency-mcp-server"
],
"env": {
"APIFY_TOKEN": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http google-ads-transparency 'https://mcp.apify.com?tools=publicrecords/google-ads-transparency-scraper' --header 'Authorization: your-value'或者在你的电脑上运行
claude mcp add google-ads-transparency --env APIFY_TOKEN=your-value -- uvx google-ads-transparency-mcp-server运行前请先填写空着的值。
或者自己复制设置
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"google-ads-transparency": {
"url": "https://mcp.apify.com?tools=publicrecords/google-ads-transparency-scraper",
"headers": {
"Authorization": "your-value"
}
}
}
}或者在你的电脑上运行
或者自己复制设置
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"google-ads-transparency": {
"command": "uvx",
"args": [
"google-ads-transparency-mcp-server"
],
"env": {
"APIFY_TOKEN": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"google-ads-transparency": {
"type": "http",
"url": "https://mcp.apify.com?tools=publicrecords/google-ads-transparency-scraper",
"headers": {
"Authorization": "your-value"
}
}
}
}或者在你的电脑上运行
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"google-ads-transparency": {
"type": "stdio",
"command": "uvx",
"args": [
"google-ads-transparency-mcp-server"
],
"env": {
"APIFY_TOKEN": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
需要你填写的值
- Your own Apify API token. Needed for tools/call; tools/list works without it.
Authorization机密 HTTP headerOptional if you use Apify OAuth. Otherwise: Bearer (your own Apify API token).
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它能做什么
服务器要求先登录,才会列出它的工具。
基础检查i
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
- ✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 GeminiGeorge22 验证,该账户拥有此仓库
- … 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
- … 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
- ✓ 通过
端点有响应
在 66 毫秒内响应(HTTP 401)
- ✓ 通过
使用 OAuth 登录
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
- … 尚未检查
工具描述中没有隐藏指令
尚未检查;我们会在检查端点时读取工具列表
与“营销与社交媒体”中的其他服务器比较i
- 星标数多于此分类中其他 3602 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 3602 个服务器的 86% 更新
- 基础检查结果等于或优于此分类中其他 3602 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
常见问题
Google Ads Transparency MCP: Competitor Ads 安全吗?
它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
它需要哪些密钥或代码?
你需要填写:APIFY_TOKEN, Authorization
它在我的电脑上运行还是在云端?
两种方式都可以:安装在你的电脑上,或者连接云端版本。
它还在维护吗?
GitHub 仓库最后更新于–,最新版本(1.0.1)于4天前进入注册中心。
哪些应用可以使用它?
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
有什么可以替代它?
同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
替代选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Google Analytics MCP
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
BibiGPT YouTube Video Summarizer
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Google Ads Transparency MCP: Competitor Ads
An MCP server that tells your AI assistant which Google ads a competitor is running. Give it a website domain (nike.com), a Google advertiser ID, an Ads Transparency Center link or an exact advertiser name, and it returns the ads Google lists for that advertiser: which are new, still running or stopped in your look-back window, with first and last shown dates, days shown and links to each ad. Filter by country, or leave it on "anywhere". No Google login and no proxy setup.
Built on the public Google Ads Transparency Center data, via the Apify Actor Google Ads Transparency Scraper.
- Apify Store: https://apify.com/publicrecords/google-ads-transparency-scraper
- MCP server: https://mcp.apify.com?tools=publicrecords/google-ads-transparency-scraper
Example prompts
- "Which Google ads did nike.com start running in the last 7 days in the US?"
- "Compare the ads running right now for hubspot.com and salesforce.com."
- "List the ads my competitor stopped this month, with first and last shown dates."
Tool
| Tool | Input | Output |
|---|---|---|
publicrecords--google-ads-transparency-scraper | targets (domains, advertiser IDs, Transparency Center links or names), sinceDays, region, statuses | One row per ad: advertiser, ad ID, format (text, image, video), status, first and last shown dates, days shown, target domain and the ad link |
The full input schema is in tools.json, generated from the Actor's public input schema and checked for drift daily.
MCP endpoint
https://mcp.apify.com?tools=publicrecords/google-ads-transparency-scraper
Transport: Streamable HTTP (hosted by Apify, see https://docs.apify.com/mcp).
Auth
Sign in with Apify OAuth when your client prompts you, or send the header Authorization: Bearer where is your own Apify API token. Never commit a real token.
Client setup
Claude
Claude Code:
claude mcp add --transport http google-ads-transparency "https://mcp.apify.com?tools=publicrecords/google-ads-transparency-scraper"
Claude Desktop / claude.ai: Settings → Connectors → Add custom connector, and paste the MCP endpoint URL above.
Cursor
~/.cursor/mcp.json:
{
"mcpServers": { "google-ads-transparency": { "url": "https://mcp.apify.com?tools=publicrecords/google-ads-transparency-scraper" } } }
VS Code
.vscode/mcp.json:
{
"servers": { "google-ads-transparency": { "type": "http", "url": "https://mcp.apify.com?tools=publicrecords/google-ads-transparency-scraper" } } }
To use a token instead of OAuth, add "headers": { "Authorization": "Bearer " } next to "url".
Disclosure: I maintain this Actor.
Local stdio server (open source)
This repo also ships a small MCP server in src/ for clients that only run local stdio servers. It answers initialize and tools/list locally from tools.json, which is generated from each Actor's public input schema and checked for drift in CI and weekly, so any client or directory can inspect the tools with no token. tools/call is forwarded to the hosted Apify MCP endpoint above with your own APIFY_TOKEN; without a token a call returns a clear error instead of running anything. The token is only sent in the Authorization header and is never logged.
{
"mcpServers": { "google-ads-transparency": { "command": "npx", "args": ["-y", "github:GeminiGeorge22/google-ads-transparency-mcp"], "env": { "APIFY_TOKEN": "YOUR_APIFY_TOKEN" } } } }
Or from a clone:
git clone https://github.com/GeminiGeorge22/google-ads-transparency-mcp.git
cd google-ads-transparency-mcp && npm install APIFY_TOKEN=YOUR_APIFY_TOKEN node src/server.js
Optional env: APIFY_ACTORS (comma-separated subset of the Actors above) and APIFY_MCP_URL (full endpoint override).
Tests run against an in-memory mock server, with no network and no token: npm test. Requires Node.js 18+.
Python (uvx/pip)
A matching Python version of this server lives in python/, built on the official mcp Python SDK: same tools, same APIFY_TOKEN, same hosted endpoint. Requires Python 3.10+.
{
"mcpServers": { "google-ads-transparency": { "command": "uvx", "args": ["google-ads-transparency-mcp-server"], "env": { "APIFY_TOKEN": "YOUR_APIFY_TOKEN" } } } }
Or with pip: pip install google-ads-transparency-mcp-server, then run google-ads-transparency-mcp-server. Python tests: cd python && pip install -e ".[test]" && env -u APIFY_TOKEN python -m pytest.
See also
- Awesome Ad Intelligence MCP: a curated list of MCP servers and tools for competitor ads, ad libraries and ad intelligence, from many providers.
- ecommerce-search-rankings-mcp: E-commerce search results and product rankings across Amazon, eBay, Walmart, Google Shopping, AliExpress, Shopify and Etsy.
- ecommerce-sales-mcp: E-commerce sales signals: Amazon bestsellers and reviews, eBay sold prices, TikTok Shop and Etsy shop sales.
- forecast-accuracy-mcp: Forecast accuracy and track records: forecasts vs actuals, earnings beats, prediction markets, archived pages and news.
- ats-jobs-mcp: New job postings from Greenhouse, Lever, Ashby and SmartRecruiters.
- gov-tenders-mcp: Government tenders, grants, awards and council meetings.