What is an MCP Server?

An MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to LLMs.

What is the Model Context Protocol (MCP)?

The Model Context Protocol is an open standard that defines how applications provide context to LLMs, enabling seamless integration between LLM applications and external data sources and tools.

How does Browserbase MCP enhance AI Agents?

Browserbase MCP provides cloud browser automation capabilities, enabling AI Agents to interact with web pages, extract data, and execute JavaScript in a controlled environment.

What are the key features of Stagehand MCP?

Stagehand MCP offers atomic instructions for precise web automation, supports multiple LLMs, including GPT-4 and Claude-3.5 Sonnet, and provides vision support for complex DOM structures.

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department, helping you orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents.

How does UBOS help with AI Agent development?

UBOS provides a platform to orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with your LLM model, and create Multi-Agent Systems, streamlining the development and deployment process.

Browserbase MCP Server

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The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.

This server provides cloud browser automation capabilities using Browserbase, Puppeteer, and Stagehand (Coming Soon). This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.

To learn to get started with Browserbase, check out 'browserbase/README.md' or Stagehand MCP.

Getting Started with available MCPs

🌐 Browserbase MCP - Located in browserbase/

| Feature | Description | |---------|-------------| | 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 | Execute custom JS in the browser context | | Web Interaction | Navigate, click, and fill forms with ease |

🤘 Stagehand MCP - Located in stagehand/

| Feature | Description | |---------|-------------| | Atomic Instructions | Execute precise actions like act("click the login button") or extract("find the red shoes") | | Model Flexibility | Supports multiple models, including OpenAI's GPT-4 and Anthropic's Claude-3.5 Sonnet | | Modular Design | Easily integrate new models with minimal changes | | Vision Support | Use annotated screenshots for complex DOMs | | Open Source | Contribute to the project and join the Slack community for support |