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by dlwjdtn535 • Analytics & Monitoring
A local MCP server and Chrome extension that lets AI agents control the Chrome browser and perform web automation tasks.
Navigate websites, click elements, fill forms, and interact with page UI programmatically in a real browser.
Extract structured data from pages (tables, images, meta tags) and retrieve page HTML or element information for analysis.
Manage browser-level features such as bookmarks, history, downloads, cookies, screenshots, and clipboard interactions during automated workflows.
This project provides a WebSocket-based server and a Chrome extension to enable programmatic control of Chrome from AI models. It supports navigation, element interaction (click, type, form fill), page analysis (HTML, tables, images, meta tags), browser features (bookmarks, history, downloads, cookies), and system integrations like screenshots and geolocation. The server runs locally (Python) and communicates with a browser extension, making it suitable for private, local automation and agent-driven browsing workflows. It's open-source (MIT) and intended for integration with agent platforms via the MCP protocol.
Add two numbers together. Args: a: First number b: Second number Returns: The sum of a and b
Subtract the second number from the first. Args: a: Number to subtract from b: Number to subtract Returns: The result of a - b
Multiply two numbers together. Args: a: First number b: Second number Returns: The product of a and b
Divide the first number by the second. Args: a: Numerator b: Denominator Returns: The result of a / b
Basic calculator help information.
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