Yetibrowser MCP
YetiBrowser MCP is a fully open - source implementation of browser automation MCP. It connects through a local MCP server and a browser extension, enabling AI assistants to control real browser tabs. All data is processed locally to ensure transparency and security.
rating : 2 points
downloads : 7.7K
What is YetiBrowser MCP?
YetiBrowser MCP is a locally - prioritized browser automation solution that allows AI assistants (such as Claude, Cursor, etc.) to control your real browser tabs through the MCP protocol. It consists of two parts: an MCP server running on your computer and a browser extension installed on Chrome or Firefox. AI assistants can navigate web pages, click buttons, fill out forms, take screenshots, etc. through this system, just like a real person operating, but all operations are completed on your local device, ensuring privacy and security.How to use YetiBrowser MCP?
Using YetiBrowser MCP requires three steps: 1) Install the extension in your browser; 2) Configure the MCP server in your AI tool; 3) Send instructions through the AI assistant to control the browser. The extension will establish a connection with the local server. The AI assistant sends commands through the MCP protocol, and the server forwards these commands to the browser for execution. The entire process does not require cloud services, and the data is completely localized.Use cases
YetiBrowser MCP is particularly suitable for the following scenarios: web page automation testing, data scraping and organization, automation of repetitive web page operations, web page content analysis and debugging, and assisting web development and QA testing. Whether developers are testing website functions or ordinary users need to automate certain web page tasks, they can easily achieve this through AI assistants.Main features
Browser navigation control
AI can control the browser to access specified URLs, move forward and backward, refresh pages, and perform other basic navigation operations.
Page element interaction
Supports rich page interaction functions such as clicking buttons, entering text, selecting options, and dragging elements.
Page state capture
Can obtain page information such as page snapshots, screenshots, console logs, and form states to help AI understand the current page situation.
Intelligent waiting mechanism
Supports waiting for a specific element to appear or waiting for a specified time to ensure that subsequent operations are performed after the page has finished loading.
Form automation filling
Can fill multiple form fields at once, including text boxes, drop - down boxes, checkboxes, radio buttons, etc.
Dialog box handling
Can automatically handle browser dialog boxes such as alert, confirm, and prompt.
Custom JavaScript execution
Allows custom JavaScript code to be executed in the page context and obtain the results.
Page change comparison
Can compare the differences between two page snapshots and identify changes in DOM and ARIA attributes.
Advantages
Completely open - source and transparent: All code can be viewed, audited, and modified, with no hidden binary files.
Locally - prioritized: All browsing data is retained on your device and will not be sent to the cloud.
Privacy - secure: The extension only communicates with the local server to protect your browsing privacy.
Cross - browser support: Supports Chrome and Firefox browsers.
Developer - friendly: Provides rich debugging tools, such as console log capture and DOM difference comparison.
Production - ready: Includes complete packaging, publishing, and integration documentation.
Limitations
Limited Firefox support: Due to the incomplete support of Manifest V3 in Firefox, the functions of the Firefox version may be limited.
Requires manual configuration: You need to configure the MCP server connection in your AI tool.
Depends on local connection: The extension must be able to establish a WebSocket connection with the local server.
Requires AI tool support: Your AI assistant needs to support the MCP protocol to use it.
How to use
Install the browser extension
Install the corresponding extension according to your browser type. Chrome users can install it from the Chrome Web Store, while Firefox users need to wait for the full - version release.
Configure the MCP server
Configure the YetiBrowser MCP server in your AI tool. The configuration methods vary slightly for different tools. The following provides configuration examples for common tools.
Start the server and connect
Start the MCP server and ensure that the browser extension is connected to the correct port. The extension will automatically search for an available port by default, or you can set it manually.
Control the browser through the AI assistant
In the configured AI tool, you can now control the browser through natural language instructions. For example, ask the AI to navigate to a certain website or perform specific operations.
Usage examples
Automated web search
Let the AI assistant automatically open a search engine, enter a query term, and obtain search results.
Form auto - filling
Automatically fill out complex web forms to save manual input time.
Web content scraping and analysis
Scrape web data and perform analysis and organization.
Web testing and debugging
Automatically test web page functions and collect debugging information.
Frequently Asked Questions
Is YetiBrowser MCP secure? Will my browsing data be sent to the cloud?
Do I need programming knowledge to use it?
Which browsers are supported?
How to check the connection status?
What if there is a port conflict?
Which AI tools are supported?
Related resources
GitHub repository
The complete source code and documentation of YetiBrowser MCP.
Chrome Extension Store
The installation page for the Chrome browser extension.
MCP Protocol Documentation
The official specification documentation for the Model Context Protocol.
Workspace Command Documentation
Detailed instructions on development and workspace commands.
Privacy Policy
The privacy policy description of YetiBrowser MCP.

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