mcp-server-browserbase
- Browser Automation
This server provides cloud browser automation capabilities using Browserbase, Puppeteer, and Stagehand. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.
Prompts
Interactive templates invoked by user choice
| Name | Description |
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No prompts | |
Resources
Contextual data attached and managed by the client
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No resources | |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
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No tools | |
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
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No arguments | |||
Browserbase MCP Server
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 |
Alternative Installation Methods
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