What MCP tool does the server expose?
The server exposes a single tool called `search_ads` that accepts optional parameters for company, dates, keywords, limit, and sort order.
@StinCodes
基本情報
Build a Model Context Protocol (MCP) server that provides access to Facebook's Ad Library through web scraping. The server should allow clients to search for advertisements with various filters and retrieve comprehensive ad data.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"FbAdLibraryMCPServer": {
"command": "npx",
"args": [
"playwright",
"install"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
FbAdLibraryMCPServer is an MCP server that provides access to Facebook's Ad Library through web scraping. It exposes a single MCP tool for searching advertisements with comprehensive filtering options.
Install dependencies (npm install and npx playwright install), then start the server with npm run dev (development) or npm run build && npm start (production). Connect any MCP-compatible client to the HTTP endpoint (default http://localhost:3000/mcp). Use the built-in search_ads tool with parameters such as company, start_date, end_date, keywords, limit, and order.
The server exposes a single tool called `search_ads` that accepts optional parameters for company, dates, keywords, limit, and sort order.
The server can return up to 100 ads per search. The default limit is 50.
No authentication is required to connect to the server's HTTP endpoint.
It uses virtual display (Xvfb), natural navigation patterns, simplified browser configuration, a 30-second browser launch timeout, and different behavior in production vs development to bypass Facebook's detection.
The server runs in non-headless mode, is limited to 100 ads per search, date formats depend on Facebook's display, and it is subject to Facebook's anti-bot measures.

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