Facebook/Instagram ads from Meta Ad Library plus AI teardowns of Meta and YouTube video ads.
Run one of the commands below, then add the client config underneath.
Streamable HTTPhttps://mcp.apify.com/?tools=fetch-actor-details,tubetext/meta-ad-library-videos,tubetext/video-ad-analyzer
Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.
mcpServers{
"mcpServers": {
"tubetext-ad-intelligence": {
"url": "https://mcp.apify.com/?tools=fetch-actor-details,tubetext/meta-ad-library-videos,tubetext/video-ad-analyzer"
}
}
}
Meta Ad Library & Video Ad Analyzer is listed in the Marketing & SEO category of the MCPNav directory. It is distributed as Streamable HTTP and can be loaded by any client that speaks the Model Context Protocol.
Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.
Meta Ad Library & Video Ad Analyzer is an MCP server by LMSlay. Facebook/Instagram ads from Meta Ad Library plus AI teardowns of Meta and YouTube video ads.
Install it with: https://mcp.apify.com/?tools=fetch-actor-details,tubetext/meta-ad-library-videos,tubetext/video-ad-analyzer. Then add the JSON config to your client's MCP settings and restart the client.
The MCP server itself is free to install. The source is public on https://github.com/LMSlay/tubetext-mcp. Any third-party API it calls (such as a search or maps API) may require its own key and billing.
Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.