readme tweaks

Author: Kylejeong2

README.md

@@ -4,7 +4,7 @@
 
 [The Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) 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](https://www.browserbase.com/), [Puppeteer](https://pptr.dev/), and [Stagehand](https://github.com/browserbase/stagehand). This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.
+This server provides cloud browser automation capabilities using [Browserbase](https://www.browserbase.com/) and [Stagehand](https://github.com/browserbase/stagehand). 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 MCP](./browserbase/README.md) or [Stagehand MCP](./stagehand/README.md).
 
@@ -18,7 +18,6 @@ To learn to get started with Browserbase, check out [Browserbase MCP](./browserb
 | 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/`](./stagehand/)

browserbase/README.md

@@ -2,8 +2,7 @@
 
 ![cover](../assets/browserbase-mcp.png)
 
-A Model Context Protocol server that uses Playwright and Browserbase
-to provide browser automation tools.
+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. 
 
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