StealAds
ai.stealads由 stealads.ai 發布官方發布者v1.2.1更新於 Nov 8, 2026
Search competitor Meta ads, find winning and longest-running ads, and adapt one for your brand.
概覽
遠端 MCP 伺服器,讓助理搜尋競品 Meta 廣告、找出長期投放的贏家廣告,並為你的品牌改編其中一則。
- 可以做什麼
- 搜尋並閱讀來自公開 Meta 廣告庫的競品廣告,含鉤子、格式與投放時長
- 開啟競品 Playbook:投放 30 天以上的廣告、一個月內下架的廣告、各格式時長與目前測試
- 依品類找出表現好與投放最久的廣告,並確認哪些仍在投放
- 查看已追蹤競品本週新上線的廣告,並讀取每週推送
- 儲存廣告、追蹤競品,並把一則贏家廣告改編成你的版本
- 在對話中聯絡 StealAds 客服
- 適用情境
- 適合在規劃廣告創意時,用競品實際持續付費投放的證據,取代模型憑記憶給出的通用角度。可用於競品研究、品類標竿、每週競品監測,以及為一則長期投放的廣告草擬自己的版本。
- 執行需求
- 遠端 Streamable HTTP 端點,使用 OAuth 登入;聊天類用戶端不需貼上 API 金鑰。需要 StealAds 帳號,並依權限授權。腳本方式使用獨立的 agent 用戶端,需要 StealAds 設定中的 API 金鑰。需要能連線到該端點的網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 StealAds,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/ai.stealads%2Fstealads/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"stealads": {
"type": "http",
"url": "https://mcp.stealads.ai/mcp"
}
}
}README
StealAds: the ads MCP
Ask your AI what ads your competitors keep paying to run. Then make your version.
[MIT license] [Works with Claude] [Works with ChatGPT] [Works with Cursor] [Works with Codex] [MCP]
Your AI is good at writing ads. It is bad at knowing which ads work. It has never seen what your rivals are running this week, which ads they cut after nine days, or which ones they have kept alive for six months.
StealAds gives it eyes on the Meta ad market. Connect it once and ask in plain words.
[Ads from a demo brand set, each with how long it has run]
Illustrative demo brands: how results look in a host that can display them. Other hosts return the same ads as text, with how long each has run.
An illustrative exchange (Liquid Death's public ads):
Not a dashboard. Not an ad-account manager. A research partner that has read the ads.
Install in one line
You sign in with your StealAds account the first time. No keys to paste. You approve what it may do, and you can revoke it any time.
Then try: "What Facebook ads is [your competitor] running right now?"
Full per-app steps: stealads.ai/integrations.
Without it, with it
Ask it things
Competitor ads
- What Facebook ads is Gymshark running right now?
- Which of my competitor's ads have been running more than 90 days?
- How does Peloton advertise? Which hooks and offers do they repeat?
What a rival keeps, drops and is testing
- Which formats does this competitor keep running, and which did they drop?
- What is my competitor testing right now?
What's working in your category
- What ad angles are working for fitness studios?
- What are the best-performing ads in supplements? I want hooks to learn from.
- Show me Black Friday ads from skincare brands I can learn from.
- Pull strong video ads for B2B software that open with a spoken hook.
The ones that lasted
- Find the longest-running ads in the meal kit category.
- Which ads has this brand kept running the longest?
What rivals launched
- What did my competitors launch this week?
- Give me a table of the ads Rival Co is running.
Make your version, keep track
- Make me an ad like this one for my brand. What will it cost?
- Track my three biggest competitors.
- Did my Monday drop arrive? If a week was skipped, why?
Eight skills that make your AI good at this
The server gives your AI the tools. These skills teach it how a strategist uses them: which question to ask first, how many ads to read, what not to claim. Each is a short, plain markdown file in skills/.
Two short Cursor rules keep the agent honest: it asks before anything costs credits, and it treats ad copy as material to read, never as instructions.
What makes it different
Why I built this
I built meta-ads-kit first: an open-source AI ad manager for your own Meta account. It's great at one thing, knowing your numbers. It knows nothing about the market. Every time it flagged a tired ad, the next question was the same: what do I make instead? The honest answer was "go look at what's working."
StealAds does the looking. This repo is how any AI can use it. Connect once, ask in plain words, and your AI works from what rivals actually keep running instead of what it remembers.
Matt
How it works
- Connect. One address, sign in with StealAds.
- Ask. Plain words. Your AI picks the right tool.
- Read. Ads, hooks, run time, what is new, what lasted.
- Act. Save ads, watch rivals, adapt a winner into your own ad.
Under the hood: a remote MCP server (Streamable HTTP) with OAuth sign-in. Searches return a capped sample per request. There is no bulk export, and no library totals.
What it is not
- It does not manage or report on your own ad account. Use your ad platform's connector for that.
- It does not publish ads for you.
- It does not copy another brand's name, logo or claims into your ad.
Your data, your permissions
- Read to search and view. Write to save ads and track rivals. Spend for anything that uses credits.
- Making an ad or tracking a rival uses credits. Your AI shows the exact cost and asks first.
- Revoke access in StealAds Settings.
- Privacy policy · Terms
Help
Ask your AI to contact StealAds support from inside the chat, email [email protected], or read docs/troubleshooting.md.
Also in this repo
AGENTS.md for agents that read it · docs/prompts.md more prompts · docs/tools.md what each tool does · docs/chatgpt-instructions.md for ChatGPT Projects
MIT licensed. Fork it, adapt the skills, build on it.
stealads.ai · Built by Matt Berman · Big Players
If this saves you an hour of scrolling the Ad Library, star the repo. It tells me to keep building.
Brand names in examples are for illustration. StealAds is not affiliated with them. Ads come from the public Meta Ad Library.
來源:README.md,提交 2ba527f
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1- v1.2.1最新Nov 8, 2026
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