"A server for finding scientific articles, creating ad ideas, and deploying Facebook ads" matching MCP servers:

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.

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.

Read WeChat (微信) Official Account articles with native multimodal output — body, images, and video keyframes returned as MCP content blocks. Handles all three embed types: Tencent Video, WeChat-native, and Channels (视频号 metadata via public API).

Enables MCP clients to query public Facebook pages and profiles by handle, retrieving like counts, contact details, owner info, and recent posts with reactions, comments, and shares as structured JSON.

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

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.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Ad libraries are public but fragmented. Every platform is a silo - different UI, different filters, different quirks. If you want to see what competitors are running, you're either opening four tabs and pasting into Excel, or maintaining scrapers that rot with every layout change. adextract gives AI agents a single MCP endpoint to search, read, and compare ads across Meta, TikTok, LinkedIn, and mo

An Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.

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.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

📈 提供股票、加密货币的数据查询和分析功能MCP服务器

Enables AI assistants to fetch, search, and organize menu information from For Five Coffee café. Provides access to complete menu data, category filtering, and item search capabilities through both MCP and REST API interfaces.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Enables AI assistants to audit and analyze LinkedIn Campaign Manager accounts, campaigns, targeting, creatives, performance, and audience demographics without requiring a LinkedIn Developer App.

Enables AI clients to read and send Facebook Messenger messages by using a Chrome extension to bypass anti-bot protections, providing tools like fb_list_conversations, fb_read_messages, and fb_send_message.

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.