MCP Ads
Enables running marketing platforms like Google Ads, Meta Ads, GA4, Search Console, Tag Manager, and WordPress from any MCP client to read performance, audit wasted spend, build reports, and launch campaigns (created paused until you say otherwise).
README
MCP Ads
The open-source marketing MCP server. Run Google Ads, Meta Ads, GA4, Search Console, Tag Manager, WordPress and more from Claude, ChatGPT, Cursor, or any MCP client — read performance, audit wasted spend, build reports, and launch campaigns (created paused until you say otherwise).
~3,100 registered actions across 12+ platforms, exposed through 17 category dispatchers so your agent loads ~20 tool definitions instead of thousands.
Choose your path
☁️ Cloud — connected in 2 minutes, free tier
Go to mcp-ads.com, sign in, OAuth your ad accounts in the browser, and paste one URL into Claude. Done.
- No API applications, no developer tokens, no app reviews — the platform approvals (Google Ads developer token, Meta App Review, and the rest) are already in place
- Free tier: 30 tool calls/month, every platform. Paid plans for unlimited use
- Your credentials stored encrypted; revoke any time from the dashboard
This is the right choice for almost everyone who wants to use the tools rather than host them.
🔧 Self-hosted — free forever, your keys, your machine
Clone this repo and run it with your own platform credentials. MIT licensed, no strings, no phone-home. Your tokens never leave your machine.
The honest cost: several of the ad platforms make you apply for API access (see the table below). If you already have those credentials — you're an agency with a Google Ads developer token, a developer with a reviewed Meta app — self-hosting takes minutes. If you don't, budget days to weeks for the platforms' own approval queues, or just use the cloud.
Same code, same actions, either way. The hosted product is this exact server plus multi-user auth and the approvals already done.
Self-hosted quick start
git clone https://github.com/RoyAzran/mcp-ads.git
cd mcp-ads
pip install -r requirements.txt
cp .env.example .env # fill in the platforms you use
python server.py doctor # shows what's connected
Then add it to Claude Desktop (claude_desktop_config.json) or
Claude Code (.mcp.json):
{
"mcpServers": {
"mcp-ads": {
"command": "python",
"args": ["/absolute/path/to/mcp-ads/server.py"]
}
}
}
That's the whole install. Ask your agent "audit my Google Ads wasted spend" and watch it go.
Docker instead:
cp .env.example .env
docker compose up -d # HTTP server on 127.0.0.1:8000, MCP endpoint at /mcp
HTTP mode without Docker: python server.py serve --transport http
OAuth helper for the bearer-token platforms (opens a browser, stores and auto-refreshes the token):
python server.py auth snapchat_ads
What works out of the box, honestly
Self-hosting means holding your own keys to each platform. Some hand them over in minutes; some make you apply. This is the real picture:
| Platform | Actions | What you need | Realistic effort |
|---|---|---|---|
| GA4 | 95 | Google OAuth client + refresh token | Minutes–hours |
| Search Console | 23 | Same Google token | Minutes |
| Tag Manager | 64 | Same Google token | Minutes |
| Google Sheets | 69 | Same Google token | Minutes |
| WordPress | ~1,800 | Site URL + Application Password | Minutes |
| Google Ads | ~755 | Above plus a developer token (Google reviews the application) | 1–3 weeks |
| Meta Ads | 234 | A Meta app; ads_management/ads_read need App Review (works for the app's own admins/testers before approval) |
Days for yourself, weeks for App Review |
| Snapchat Ads | 12 | Self-serve OAuth app in Business Manager | Hours |
| Microsoft Ads | 11 | Entra OAuth app + developer token (sandbox instant, production reviewed) | Hours–days |
| TikTok Ads | 35 | Business API app review | Weeks |
| LinkedIn Ads | 26 | Marketing Developer Platform approval — routinely refused to individuals | Often unobtainable |
| Meta Ad Library | 7 | Token from a Meta-ID-verified identity | Days |
| Ads Transparency | 7 | Nothing — but read the note below | Off by default |
| Creative generation | 7 | Your OpenAI API key | Minutes |
If that table makes you tired, that's exactly what the cloud version is for — the approvals are done, you just connect your accounts.
How the tool surface works
Your agent sees one dispatcher per platform plus list_actions:
1. list_actions(category="meta_ads_action", search="budget")
2. meta_ads_action(action="<name from step 1>", params={...})
- Write actions create everything paused unless explicitly told to launch
- Role gating (
permissions.py) separates read from write tools by name --surface fullregisters every action as its own MCP tool instead — useful for programmatic clients, far too many tools for a chat client
The NPX CLI
No Python on the client machine? The CLI is a ~300-line stdio proxy
(cli/) that forwards to any MCP Ads server:
# against your self-hosted server
MCP_ADS_BASE_URL=http://127.0.0.1:8000 npx -y @marketingmcp/cli
# against the cloud (API key from mcp-ads.com/manage)
MCP_ADS_API_KEY=mcp_live_xxx npx -y @marketingmcp/cli
A note on Google Ads Transparency
tools/google_ads_transparency.py reads Google's public Ads Transparency
Center by calling the endpoints the website itself uses. Google documents no
API for this data; the endpoints can change or start refusing without notice,
and automated access to them is not something Google has blessed. The family
is off by default — set GOOGLE_ADS_TRANSPARENCY_ENABLED=true only after
reading that module's docstring. The Meta Ad Library tools use Meta's
official API and carry no such caveat.
Security posture
- Credentials come from your
.envand an optional Fernet-encrypted local store (MCP_ADS_SECRET_KEY). Nothing phones home: telemetry is entirely opt-in and off unless you configure your own analytics project. - HTTP mode is unauthenticated by design (it's you, on loopback). The server
refuses to bind a public interface unless you set
MCP_ADS_ALLOW_PUBLIC_BIND=true, because it holds credentials that can spend real money. - CI runs a boundary gate (
tests/test_no_private_imports.py) that fails on anything shaped like a secret entering the tree.
See SECURITY.md for reporting.
Contributing
Issues and PRs welcome — see CONTRIBUTING.md. The check
scripts in scripts/ are the review bar: each one pins a failure that
actually happened in production, and
python scripts/check_tools_execute.py before a PR catches most of what
review would.
One thing we can't help with: obtaining platform API access. Those approval queues belong to Google, Meta, LinkedIn, TikTok and Microsoft.
License
MIT.
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。