merge main

Author: filip-michalsky

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) (Coming Soon). 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/), [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.
 
 To learn to get started with Browserbase, check out [Browserbase MCP](./browserbase/README.md) or [Stagehand MCP](./stagehand/README.md).
 

stagehand/README.md

@@ -55,10 +55,7 @@ A Model Context Protocol (MCP) server that provides AI-powered web automation ca
     - `variables` (object, optional): Variables used in the action template
 
 - **stagehand_extract**
-  - Extract data from the web page based on an instruction and schema
-  - Inputs:
-    - `instruction` (string): Instruction for extraction (e.g., "extract the price of the item")
-    - `schema` (object): JSON schema for the extracted data
+  - Extract data from the web page 
 
 - **stagehand_observe**
   - Observe actions that can be performed on the web page
@@ -67,7 +64,7 @@ A Model Context Protocol (MCP) server that provides AI-powered web automation ca
 
 ### Resources
 
-The server provides access to two types of resources:
+The server provides access to one resource:
 
 1. **Console Logs** (`console://logs`)