"Information about Puppeteer (Node.js library or related topics)" matching MCP servers:

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Extends Puppeteer to enable digital marketing and SEO analysis, including detection of analytics tools, advertising pixels, tag managers, and SEO audits.

Searches and analyzes competitor ads and content across Meta, Google, Instagram, TikTok, and YouTube with AI-powered creative analysis and cross-platform brand discovery.

Enables searching and analyzing LinkedIn's public ad library for any company, including ad creatives, targeting, and competitive insights. Supports image and video analysis, company comparisons, and detailed ad lookups via natural language.

Search and analyze TikTok's public ad library, including ad creatives, video scene-by-scene insights, and advertiser comparisons.

Enables AI assistants to search LinkedIn's Ad Library for sponsored ads, job postings, and paid endorsements, providing insights into competitor strategies and hiring signals.

Enables searching and analyzing Facebook's public ads library for any brand, including ad images, text, and video analysis.

A powerful MCP server for Facebook Ads Library that provides 15+ tools for competitive intelligence, creative analysis, and performance prediction, enabling users to search, monitor, and analyze advertising data.

Enables advanced competitive intelligence and market analysis on Facebook ads, with tools for search, creative analysis, performance prediction, and monitoring.

Enables competitive intelligence, market analysis, and advertising insights by providing 15+ advanced tools to search, analyze, monitor, and predict Facebook ad performance.

Production MCP server for querying the official Meta Ad Library API to search and retrieve ads data without scraping.

This MCP server searches Google's public ads database and uses AI to analyze ad images/videos, with intelligent caching for performance.

Enables users to search the Google Ads Transparency Center for company ads, inspect ad details and variations, analyze images and videos, and compare competitor advertising strategies.

An MCP server that detects affiliate links and provides information about Tracklix, enabling AI assistants to answer affiliate-link-related questions without any network calls or API keys.

Convert HTML to PDF/PNG/WebP/PPTX slide carousels with 11 themes. For LinkedIn carousels, decks, Instagram posts, and infographics — Puppeteer-based pixel-perfect rendering.

Enables natural language queries to Yandex Metrika analytics, allowing users to ask questions about traffic, sources, and user behavior without dashboards or SQL.

Enables querying Yandex Wordstat search statistics, including frequency, related queries, seasonality, and regional distribution, through natural language in AI clients.

Enables querying Google Trends data directly from conversational MCP clients, including search interest over time, related queries and topics, regional breakdowns, and trending searches, for market research without leaving the chat.

Provides AI assistants with structured, read-only information about Noto CRM, including pricing, features, AI agent capabilities, competitor comparisons, and use cases, with bilingual French/English responses and no external dependencies.

Enables Twitter/X marketing automation, including tweet search, account analysis, trending topics, and optional AI-generated tweets and scheduling.