Browserbase MCP Server
Description
Browserbase MCP Server is a cloud-based automation server that leverages the Model Context Protocol (MCP) to enable integration between large language model (LLM) applications and external data sources and tools. It allows LLMs to perform web-related tasks like taking screenshots and executing JavaScript.
Features
- Browser Automation: Control and orchestrate cloud browsers.
- Data Extraction: Extract structured data from any webpage.
- Console Monitoring: Track and analyze browser console logs.
- Screenshots: Capture full-page and element screenshots.
- JavaScript Execution: Run custom JavaScript in the browser context.
- Web Interaction: Navigate, click, and fill forms effortlessly.
Links & Contact
Recommended Servers
Fast LLM & Agents & MCPs is a comprehensive repository that explores the concepts of Large Language Models (LLMs), Agents, and Model Context Protocols (MCPs) both theoretically and practically. It includes various tools, frameworks, and sample codes for developing intelligent agents and applications using LLMs.
Flomo MCP is a tool designed for writing notes to the Flomo application, allowing users to easily manage and organize their notes.
MCPollinations is a multimodal Model Context Protocol (MCP) server that allows AI assistants to generate images, text, and audio through the Pollinations APIs.
The Deep Research MCP Server is a Model Context Protocol (MCP) compliant server for comprehensive, up-to-date web research. It leverages Tavily's Search & Crawl APIs to gather, aggregate, and structure information for LLM-powered documentation generation.
NPM Helper is a Model Context Protocol (MCP) server designed to assist with NPM package management and dependency updates, enabling LLMs like Claude to interact with npm packages, search the npm registry, and maintain up-to-date dependencies.
AgentMode is an all-in-one Model Context Protocol (MCP) server that connects your coding AI to various databases, data warehouses, data pipelines, and cloud services, streamlining your development workflow.
This project provides a Model Context Protocol (MCP) server for NATS, enabling AI models and applications to interact with NATS messaging systems through a standardized interface. It exposes a comprehensive set of tools for interacting with NATS servers, making it ideal for AI-powered applications that need to work with messaging systems.
Kollektiv MCP enables you to build personal LLM knowledge base in seconds and use it from your favorite editor / client. No more infrastructure setup, chunking, syncing - just upload your data and start chatting. Supports all major MCP clients out of the box - Cursor, Windsurf, Claude Desktop, etc.
Podbean MCP Server is a management tool that connects any MCP-compatible AI assistant to the Podbean API, allowing users to manage their podcasts, episodes, and analytics through natural conversation.