"A Python library for visualizing neural networks" matching MCP servers:

Searches the Meta (Facebook) Ad Library by keyword and returns ad details including advertiser, ad copy, and EU reach, without requiring an API key.

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.

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

A Python implementation of an MCP server for Xiaohongshu that enables AI models to browse feeds, search content, and manage interactions like liking or commenting. It leverages Playwright for browser automation to support account management and content publishing features.

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

MCP server for the Mamba Labs Meta Ad Library Monitor actor on Apify. Find a company active Facebook and Instagram ads through the Meta Ad Library API.

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.

Enables searching Meta ads by text, country, category, advertiser, or landing domain from an AI assistant, then opening individual ads and advertiser pages, ranking what is scaling, finding related ads by page or domain, and downloading images and videos for ad ids.

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.

Enables automated content publishing and management on Xiaohongshu (Little Red Book) platform, supporting image/video posts, content search, user profiles, and interactions through the Model Context Protocol.

Enables AI-powered LinkedIn automation, including content generation, profile and company data extraction, connection requests, and post scraping through MCP tools.

Enables agents to search and read posts, images, and limited comments across Xiaohongshu, Weibo, Zhihu, and WeChat Official Accounts, with local OCR and traceable sources.

Enables AI assistants to interact with the Post For Me API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.

Enables LinkedIn profile reads and post operations through a local-first MCP server, with OAuth token management and approval-friendly tools for OpenWorker.

MCP server for Takes, a free, open-source Mac teleprompter and recorder for talking-head videos. It lets an AI assistant write scripts and storyboards, manage takes, make edits and draft the posts for LinkedIn, X, YouTube and Shorts.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

Exposes 59 tools that let MCP-compatible AI agents read and write to a public, typed social knowledge graph — creating and linking posts, leaving threaded comments, reacting, searching, managing sub-communities, and building reputation under an authenticated identity. Reading is free and writes spend the caller's credits, with all untrusted content spotlighted against prompt injection.