YetiBrowser MCP

YetiBrowser MCP acts as a bridge that allows AI assistants to see and interact with a web browser just like a human would. Instead of just reading static text, an AI can now use this tool to open tabs, click buttons, fill out forms, and navigate through websites in real-time. It is designed to be completely private and transparent, keeping all browsing data on the user’s local machine while giving AI agents a set of "hands" to explore and interact with the live web. On a technical level, this solution links a Node-based Model Context Protocol server directly to browser extensions for Chrome and Firefox. It provides a robust suite of automation tools, including the ability to capture accessibility-oriented snapshots, monitor console logs for errors, and even execute custom JavaScript within a page. Developers can use it to perform complex actions like DOM diffing—which highlights exactly how a page changed after an interaction—or simulating specific keyboard and mouse events to navigate sophisticated web applications. What makes this MCP particularly valuable for developers is its "local-first" and open-source nature. Because the extension communicates only with a localhost server, sensitive browsing data never leaves the device, making it a secure choice for integrating with AI coding assistants like Claude Code, Cursor, or Windsurf. With specialized features for dumping page states, capturing full-page screenshots, and handling dialog boxes, it transforms a standard LLM into a powerful, auditable agent capable of web testing, automated research, and deep debugging.

Category: Browser & Web Automation

Tags: chrome, dom-manipulation, firefox, javascript, web-automation

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How to install and configure YetiBrowser MCP

1. Installation Browser Extension: * Chrome: Install from the Chrome Web Store. Leave it on Automatic connection mode unless using multiple instances. * Firefox: Currently unavailable (on hold due to Manifest V3 limitations). MCP Server: The server is distributed via npm and can be run using npx. No manual global installation is required if using the commands below. ---

2. Configuration

Codex CLI (~/.codex/config.toml) Add the following entry to your configuration file: toml [mcp_servers.yetibrowser-mcp] command = "npx" args = ["yetibrowser-mcp"] Note: To specify a port, use: args = ["yetibrowser-mcp", "--ws-port", "9010"]

Claude Desktop (claude_desktop_config.json) While the text refers to a separate document for the specific JSON, based on the provided npx instructions, the standard configuration for Claude Desktop would be: json { "mcpServers": { "yetibrowser-mcp": { "command": "npx", "args": ["-y", "yetibrowser-mcp"] } } }

MCP Inspector (for testing) Run the following command to debug: bash npx @modelcontextprotocol/inspector yetibrowser-mcp -- --ws-port 9010 ---

3. Available Tools * browser_snapshot: Capture an accessibility-oriented snapshot of the current page. * browser_snapshot_diff: Compare the two most recent snapshots to highlight DOM/ARIA changes. * browser_navigate: Load a new URL in the connected tab and return an updated snapshot. * browser_go_back / browser_go_forward: Move through browser history. * browser_wait: Pause automation for a specified number of seconds. * browser_wait_for: Block until a selector appears (optionally visible). * browser_press_key: Simulate a keyboard key press on the focused element. * browser_click: Click the element identified by a CSS selector. * browser_hover: Hover the pointer over the targeted element. * browser_drag: Drag an element onto a drop target. * browser_type: Type text into an editable element (optionally submitting with Enter). * browser_fill_form: Fill multiple inputs/selects/checkboxes/radios in one call. * browser_select_option: Choose options in a <select> element. * browser_screenshot: Capture a viewport or full-page screenshot. * browser_get_console_logs: Return recent console output, including errors with stack traces. * browser_page_state: Dump forms, storage keys, and cookies for the page. * browser_connection_info: Report bridge WebSocket port, connection status, and extension version. * browser_evaluate: Run custom JavaScript inside the page and return JSON results. * browser_handle_dialog: Accept or dismiss alert/confirm/prompt dialogs. ---

4. Example Prompts * "What is the yetibrowser mcp connection info?" (Used to find the port for manual extension configuration). * "Navigate to [URL] and take a screenshot." * "Fill out the login form with [Username] and [Password]."

What you can do with YetiBrowser MCP

Use Case 1: Automated UI Regression Testing and Visual Auditing Problem: Developers and QA engineers often manually verify that UI changes haven't broken existing functionality or layout, which is time-consuming and prone to human error. Solution: YetiBrowser MCP allows an AI assistant to programmatically navigate through a web application, capture snapshots, and identify changes. The browser_snapshot_diff and browser_screenshot tools enable the AI to detect DOM or visual regressions automatically. Example: A developer asks the AI: "Navigate to the settings page, take a snapshot, then click the 'Dark Mode' toggle and tell me if any elements disappeared from the accessibility tree." The AI uses browser_navigate, browser_snapshot, browser_click, and browser_snapshot_diff to report specific UI changes.

Use Case 2: AI-Assisted Debugging of Live Web Applications Problem: When a web application behaves unexpectedly, developers must manually open DevTools, inspect the DOM, check console logs, and verify cookies or local storage. Solution: This MCP provides tools like browser_get_console_logs, browser_page_state, and browser_evaluate. An AI can "reach into" the running tab to diagnose issues based on real-time data that is usually hidden from the assistant. Example: A developer tells their AI IDE (like Cursor or Claude Code): "The checkout button isn't working on my local dev tab. Check the console logs and the current state of the Redux store." The AI runs browser_get_console_logs to find a 404 error and uses browser_evaluate to inspect the JavaScript heap or global variables.

Use Case 3: Automating Tasks within Authenticated Sessions Problem: Most AI automation tools struggle with sites behind logins (SSO, banking, internal HR portals) because they use "headless" browsers that don't share the user's cookies or active session. Solution: YetiBrowser MCP connects directly to the user's existing browser tab. Since the user is already logged in via their standard Chrome or Firefox profile, the AI can perform actions on protected pages without needing credentials. Example: A user wants to bulk-update descriptions in an internal CMS. They open the CMS in their browser and tell the AI: "Look at the list of articles on this page. For every draft, click 'Edit', paste this disclaimer into the footer field using browser_fill_form, and click 'Save'."

Use Case 4: Complex Web Data Extraction and Form Processing Problem: Scrapers often fail on complex, modern web apps that rely on heavy JavaScript, drag-and-drop interactions, or multi-step modals. Solution: The MCP provides high-level interaction tools like browser_drag, browser_wait_for, and browser_select_option. This allows…

Key facts

  • Open Source
  • Browser & Web Automation, Developer Tools & Code Intelligence
  • chrome, dom-manipulation, firefox, javascript, web-automation

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