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
基本信息
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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"FbAdLibraryMCPServer": {
"command": "npx",
"args": [
"playwright",
"install"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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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