"Information about ECharts - a data visualization 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.

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.

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.

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.

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 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 an AI assistant to search TikTok ads by text, country, category, or landing domain, open individual ads to inspect their copy, destination and run dates, and identify the advertiser operations behind them. All calls are pinned to TikTok so results stay within that corpus, with usage and quota checks included.

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.

Connect AI assistants to live Meta Ads, GA4, and Google Search Console data. 100% local, credentials machine-locked and encrypted. Supports Claude Desktop, Cursor, Windsurf, Cline, and more.

Enables querying and analyzing marketing data from Google Analytics 4, Search Console, YouTube, and optionally Google Ads and Meta Ads, stored in a unified DuckDB database, via natural language in Claude.

Enables AI assistants to query the FoxData API for iOS and Google Play app analytics, including downloads, revenue, rankings, keywords, competitor insights, and ad data across 200+ countries. Supports natural-language requests to retrieve app intelligence and market data.

Provides AI clients with a governed, searchable catalog of go-to-market context, including ownership, measurement, lineage, runbooks, and bulk-change templates. Optionally integrates with the UTM Builder for governed UTM reference data, preview, and issuance.

Enables to access SE Ranking SEO data through natural language queries, providing keyword analysis, competitor research, and performance tracking.

Enables querying a multifamily marketing dataset with six composable tools for marketing spend, leasing funnel, and phone calls, grouped however you need.