Chrome API MCP Server

What is Chrome Control API? Chrome Control API is a streamlined API designed for controlling the Chrome browser via the Chrome DevTools Protocol, enabling AI assistants to interact directly with Chrome. How to use Chrome Control API? To use the Chrome Control API, import the API in your JavaScript project, create an instance of the ChromeAPI class, and utilize its methods to manage tabs, navigate, interact with the DOM, and analyze page content. Key features of Chrome Control API? Tab management (create, list, close) Navigation (go to URL, back, forward, reload) DOM interaction (find elements, click, type text) Page content analysis (extract structure, find content sections) Intelligent search handling (automatically find and use search fields) Screenshot capture (full page or specific elements) JavaScript execution Network traffic monitoring Use cases of Chrome Control API? Automating web testing and interactions for applications. Building AI assistants that can navigate and extract information from web pages. Enhancing browser automation tasks for developers and testers. FAQ from Chrome Control API? Can I control multiple tabs at once? Yes! The API allows you to manage multiple tabs simultaneously. Is the Chrome Control API free to use? Yes! The API is open-source and free to use. What programming language is required? The API is designed for use with JavaScript and TypeScript.

As an MCP (Model Context Protocol) server, Chrome API MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the Chrome Control API, import the API in your JavaScript project, create an instance of the ChromeAPI class, and utilize its methods to manage tabs, navigate, interact with the DOM, and analyze page content. Key features of Chrome Control API? Tab management (create, list, close) Navigation (go to URL, back, forward, reload) DOM interaction (find elements, click, type text) Page content analysis (extract structure, find content sections) Intelligent search handling (automatically find and use search fields) Screenshot capture (full page or specific elements) JavaScript execution Network traffic monitoring Use cases of Chrome Control API? Automating web testing and interactions for applications. Building AI assistants that can navigate and extract information from web pages. Enhancing browser automation tasks for developers and testers. FAQ from Chrome Control API? Can I control multiple tabs at once? Yes! The API allows you to manage multiple tabs simultaneously. Is the Chrome Control API free to use? Yes! The API is open-source and free to use. What programming language is required? The API is designed for use with JavaScript and TypeScript.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.