What companion extension is required?
The server requires a companion Chrome extension that performs the actual browser operations. Ensure the extension is installed and enabled in Chrome.
@buyitsydney
基本信息
Model Context Protocol (MCP) server that enables AI/LLMs to automate and control a real Chrome browser by connecting to the CodingBaby Extension
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"codingbaby-browser-mcp": {
"command": "npx",
"args": [
"-y",
"@sydneyassistent/codingbaby-browser-mcp"
]
}
}
}Navigate to a URL
Perform click on a web page
Type text into focused element
Press a key or key combination on the keyboard
Close the browser
Scroll the page in a specified direction
Set the viewport configuration of the browser
Take a screenshot of a specific area of the current page
Wait for a specified number of seconds, with a screenshot of the current page state after waiting
List browser tabs
Open a new tab
Select a tab by index
Close a tab
Execute a batch of browser operations in sequence. This powerful tool allows combining multiple actions (click, type, press_key, etc.) into a single command, reducing round-trip time. Ideal for form filling, search operations, and simple navigation sequences.
It is an MCP tool server that communicates with a companion Chrome extension via WebSocket to control browser behavior. MCP clients send commands through this server to the extension for tasks like navigation, clicking, typing, scrolling, and taking screenshots.
Install the npm package (npm install @sydneyassistent/codingbaby-browser-mcp) or run from source (node chrome-server.js). The server starts a WebSocket on port 9876 and uses stdio for MCP communication. On the first tool call, it automatically starts the WebSocket and waits for the Chrome extension to connect.
The server requires a companion Chrome extension that performs the actual browser operations. Ensure the extension is installed and enabled in Chrome.
The server starts a WebSocket server (default port 9876) that connects to the Chrome extension. MCP clients communicate with the server via standard input/output (stdio).
On the first call to any browser operation tool, the server automatically starts the WebSocket server and waits for the Chrome extension to connect.
Screenshots are returned as Base64 encoded data or saved locally on the server. HTML content is saved to a temporary file on the server.
The server requires Node.js and npm. You can install it via the npm package `@sydneyassistent/codingbaby-browser-mcp` or run from source after `npm install`.
DOM-first AI browser automation for Chrome and MCP clients.
A flexible HTTP fetching Model Context Protocol server.
Browse the web, directly from Cursor etc.
Fast, lightweight Firecrawl/Tavily alternative in Rust. Web scraper, crawler & search API with MCP server for AI agents. Drop-in Firecrawl-compatible API (/scrape, /crawl, /search). 2.3x faster than Tavily, 1.5x faster than Firecrawl in 1K-URL benchmarks. 6 MB RAM, single binary.
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