"facebook ads" matching MCP servers:

Gives AI agents read access to ads running across Meta platforms without an API key, returning full creatives, real landing URLs, and complete platform lists.

An MCP server that lets AI assistants look up any advertiser's Google ads. Search by domain or company name, retrieve ad creatives, and decode text ad content from Google's Ads Transparency Center.

A local MCP server that lets Claude use your Facebook account through the normal website in a real Chrome window, with read-only tools and staged, confirmable write actions.

Enables searching, retrieving details, and monitoring Facebook Marketplace listings through direct GraphQL API calls using existing Chrome session cookies, with support for saved searches and price/location filters.

Enables access to the Facebook Scraper3 API to extract data from Facebook profiles, pages, groups, and the marketplace. It provides comprehensive tools for searching posts, people, and events, as well as retrieving detailed metadata for comments, reactions, and media.

Enables searching and scraping the public Facebook Ad Library to extract structured ad data such as advertiser, copy, landing URLs, and CTAs for competitive research, all without an account or API token.

Enables searching and browsing Facebook Marketplace listings, retrieving item details, nearby items, categories, and parsing listing URLs through MCP tools.

Enables AI agents to capture clean web screenshots and extract main article content from any web page, with automatic removal of cookie banners, ads, and boilerplate.

Enables users to look up any company's Google advertising by domain or verified advertiser name, returning one row per ad with its format, first and last shown dates, creative link, and Transparency Center permalink. Also returns a per-company summary stating whether the advertiser runs Google ads, roughly how many, and in which formats, with unfiltered by region, format, recency, or ad count.

A Model Context Protocol server that enables AI assistants to research competitor ads, analyze advertiser profiles, and compare ad presence across 42 regions using publicly available Google Ads Transparency data.

Enables agents to retrieve the contents of public social media posts — text, author, date, engagement counts, links, photos, and video frames — from X, Instagram, Threads, Facebook, LinkedIn, Bluesky, Mastodon, YouTube, Vimeo, Tumblr, Pinterest, and Reddit by simply passing a post URL. It works entirely without logins, cookies, or API keys, reading only what each site already exposes publicly.

Converts any URL to clean, LLM-ready Markdown by removing ads, navigation, and other clutter, using Mozilla Readability and Turndown.

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.

An MCP server that enables AI agents to post Reels and Photos to Facebook by capturing and replaying the native web API through a Chrome extension.

MCP server to search and retrieve public ads from OLX Brasil and Mercado Livre Brasil with automatic anti-bot bypass.

A hosted MCP server that returns DuckDuckGo search results as structured JSON, with ranked organic results, separate ads, AI answers, and 37 region/language targets for any MCP client.

Enables Claude to search Leboncoin classified ads with multi-criteria queries, pagination, CSV/JSON export, ad details, and seller profiles.

17 data tools for AI agents: Google Flights, Hotels, Shopping, News, Images, Videos, Jobs and Trends, Google Maps leads, Ads Transparency, YouTube transcripts, app reviews and AI visibility. Each tool runs an AutomationNation Actor on your own Apify account.

An MCP server (stdio + HTTP/SSE) that fetches video transcripts/subtitles via yt-dlp, with pagination for large responses. Supports YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion. Whisper fallback — transcribes audio when subtitles are unavailable (local or OpenAI API). Works with Cursor and other MCP host

Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.