"A server for finding popular videos on TikTok" matching MCP servers:

Lets an AI agent read public TikTok data with no API keys or developer account: search videos and hashtags, fetch profiles, recent videos and comments, discover creators posting about a topic, and transcribe videos through your own OpenAI-compatible speech-to-text endpoint. All popular MCP clients can launch it via uvx, and every tool returns structured output as a read-only operation.

A comprehensive MCP server that enables AI assistants to search, download, and analyze TikTok content while also performing active tasks like publishing videos and interacting with posts. It provides full automation capabilities for TikTok through browser session management and anti-detection features.

Provides a robust interface for searching TikTok videos by hashtags and retrieving trending content, with anti-detection measures and comprehensive metadata extraction.

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

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

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

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

Enables ZCode to control a real Chrome browser, including tabs, navigation, page content, clicks, form filling, keyboard input, scrolling, screenshots, and JavaScript evaluation through a local MCP bridge.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.

MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

TypeScript implementation of an MCP server that provides tools for web crawling, content extraction, and browser automation, enabling AI systems to access and process web content through 15 specialized tools.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

Enables AI assistants to search for vehicles, manage reservations, and access Enterprise Plus loyalty account information through headless browser automation on enterprise.com. It supports the complete car rental workflow including vehicle searching, booking, modifications, and points balance checks.

AI-native web scraper: scrape, crawl and map any site to clean markdown over stdio. MIT-licensed.

Enables Claude to drive a real browser and automatically turn interactions into Clikta interactive demos, step-by-step guides, and narrated videos.

Adds fdl-mcp-server — published on npm at https://www.npmjs.com/package/fdl-mcp-server Five tools any MCP client can call to analyze small business websites: * audit_website — deterministic 5-pillar scorecard (Performance, SEO, Mobile, Security, AEO) with a 0–100 score and specific findings * compare_websites — side-by-side scorecard of two sites with a winner * ai_visibility_check —

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.

Enables local web crawling and scraping through MCP, providing tools to fetch pages as Markdown, extract structured data with CSS selectors, and capture full-page screenshots while managing a shared browser instance.