Enables LLM agents to automate browser tasks through secure, sandboxed Rhai scripts executed in a WebAssembly VM, supporting DOM interactions and tab management via MCP tools.
Automates internal system form submissions by reading data from Excel/CSV or Google Sheets and using Playwright to navigate menus and fill form fields, with support for both visible and headless modes.
A server that automates screenshot capture and document processing, allowing users to convert screenshots into PDFs and extract text through natural language commands.
Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.
An MCP server for controlling Google Chrome through native messaging, featuring forced reconnect, diagnostic tools, and automatic permission management. It enables AI assistants to automate browser tasks such as navigation, scraping, and interaction with web pages.
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.
An MCP server that enables controlled Xiaohongshu content publishing with an immutable review workflow, requiring explicit human confirmation before any release. It supports content generation, local editing, compliance recall, and one-time authorized posting, defaulting to generate-only mode.
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.
The MCP Web Research Server enables real-time web research with Claude by integrating Google search, capturing webpage content and screenshots, and tracking research sessions.
Browser-based research MCP server that drives a real Chromium browser via patched Playwright to access JavaScript-rendered content, dynamic tables, and login-walled dashboards. It provides tools for visiting URLs to extract DOM text and screenshots, and for performing structured data extraction using Anthropic Claude Sonnet.
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.
A meta-MCP server that aggregates authoritative web search and browser research tools, providing a unified interface with a cost-efficient fetch ladder for web research.