Loading video...

Video Failed to Load

Go Home

Imagine an MCP server that empowers developers to create AI-driven browser automations that mimic human web interactions. That's exactly what you can get with the Browserbase MCP within Windsurf!

66,177 views • 1 year ago •via X (Twitter)

11 Comments

browserbase 🅱️'s profile picture
browserbase 🅱️1 year ago

link to Stagehand MCP here!

MightyBot's profile picture
MightyBot1 year ago

🧠 Unified Search. Smarter Meetings. Effortless CRM. MightyBot is your AI agent platform for seamless workflows—record meetings, automate CRM updates, and find answers across apps in seconds. 🌟 Focus on what matters. We'll handle the grind.

Paul Klein IV's profile picture
Paul Klein IV1 year ago

if anyone has any questions, happy to help!

browserbase 🅱️'s profile picture
browserbase 🅱️1 year ago

🤗

Alexey Lyakhov's profile picture
Alexey Lyakhov1 year ago

Burning through credits in 2 days of pro account suck.

Montana's profile picture
Montana1 year ago

How to install it in WS?

AP's profile picture
AP1 year ago

🤝

Eden's profile picture
Eden1 year ago

You should let people retry your product once in a while to start new trial for every major update

Kevin Seabourne's profile picture
Kevin Seabourne1 year ago

unreal !

Ryan Boyle's profile picture
Ryan Boyle1 year ago

so sick!

Lynn's profile picture
Lynn1 year ago

Yay - looking forward to playing around with this!

Related Videos

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

141,952 views • 1 year ago