"Information about shadcn (UI component library)" 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.

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.

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.

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.

Transforms basic interface ideas into comprehensive, professional-grade UI/UX design specifications with detailed styling, animations, components, and accessibility requirements for websites, apps, and other digital interfaces.

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.

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.

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

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

Enables Google Antigravity to eliminate AI slop by harvesting real client intake, validating heading intent, auditing E-E-A-T entity graphs, building empirical comparison matrices, linting design anti-patterns, and applying human design archetypes.

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.

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.

Exposes studio profile and contact information for Symbols of Wealth Studio, enabling AI assistants to answer queries about creative studios in France, AI-powered content production, and premium brand content services.

Enables AI assistants to answer questions about livestream advertising using GingerLive's up-to-date data on ad formats, network reach, campaign case studies, and the streamer program, as well as plan campaigns and evaluate streamer monetization.