SpidexLab's Multi-Tenant Browser MCP

SpidexLab's Multi-Tenant Browser MCP

Enables multiple autonomous agents to concurrently control separate tabs in a single Chrome instance, with features like semantic search and network monitoring.

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README

SpidexLab's Multi-Tenant Browser MCP 🚀

License: MIT TypeScript Chrome Extension

🌟 SpidexLab's Custom Fork for Autonomous Agents - This is a modified version of the Chrome MCP Server, specifically re-architected to support Multi-Tenant Tab Multiplexing and Concurrent Agents.

This is a specialized fork. For the original upstream project, please visit hangwin/mcp-chrome.

📖 Documentation: English


🎯 What makes this fork different?

The original Chrome MCP Server is an incredibly powerful tool that exposes Chrome browser functionality to AI assistants. However, it was built with a 1-to-1 connection limit in mind (one agent controlling one browser session).

The SpidexLab Modification (V3: The Multiplier): We have modified the native server bridging logic and extension messaging architecture to support a multi-tenant execution queue. This allows multiple autonomous AI agents to connect to the same browser instance concurrently. Each agent operates in its own isolated browser tab context, allowing 2, 5, or 10 agents to parallelize web research and automation tasks without connection resets or state collisions.

✨ Core Features

  • 👯 Multi-Tenant Tab Multiplexing: Concurrent agents can operate simultaneously in isolated tab contexts.
  • 😁 Chatbot/Model Agnostic: Let any LLM or chatbot client or agent you prefer automate your browser
  • ⭐️ Use Your Original Browser: Seamlessly integrate with your existing browser environment (your configurations, login states, etc.)
  • 💻 Fully Local: Pure local MCP server ensuring user privacy
  • 🚄 Streamable HTTP: Streamable HTTP connection method
  • 🏎 Cross-Tab: Cross-tab context
  • 🧠 Semantic Search: Built-in vector database for intelligent browser tab content discovery
  • 🔍 Smart Content Analysis: AI-powered text extraction and similarity matching
  • 🌐 20+ Tools: Support for screenshots, network monitoring, interactive operations, bookmark management, browsing history, and 20+ other tools

🚀 Quick Start

Prerequisites

  • Node.js >= 20.0.0 and pnpm/npm
  • Chrome/Chromium browser

Installation Steps

  1. Download the latest Chrome extension from GitHub Download the chrome-mcp-server-latest.zip from the releases/ folder in this repository.

  2. Install mcp-chrome-bridge globally

npm install -g mcp-chrome-bridge
  1. Load Chrome Extension
    • Open Chrome and go to chrome://extensions/
    • Enable "Developer mode"
    • Click "Load unpacked" and select the unzipped extension folder
    • Click the extension icon to open the plugin, then click connect to see the MCP configuration.

Usage with MCP Protocol Clients

Using Streamable HTTP Connection (👍🏻 Recommended)

Add the following configuration to your MCP client configuration:

{
  "mcpServers": {
    "chrome-mcp-server": {
      "type": "streamableHttp",
      "url": "http://127.0.0.1:12306/mcp"
    }
  }
}

🛠️ Available Tools

Complete tool list: Complete Tool List

<details> <summary><strong>📊 Browser Management (6 tools)</strong></summary>

  • get_windows_and_tabs - List all browser windows and tabs
  • chrome_navigate - Navigate to URLs and control viewport
  • chrome_switch_tab - Switch the current active tab
  • chrome_close_tabs - Close specific tabs or windows
  • chrome_go_back_or_forward - Browser navigation control
  • chrome_inject_script - Inject content scripts into web pages
  • chrome_send_command_to_inject_script - Send commands to injected content scripts </details>

<details> <summary><strong>📸 Screenshots & Visual (1 tool)</strong></summary>

  • chrome_screenshot - Advanced screenshot capture with element targeting, full-page support, and custom dimensions </details>

<details> <summary><strong>🌐 Network Monitoring (4 tools)</strong></summary>

  • chrome_network_capture_start/stop - webRequest API network capture
  • chrome_network_debugger_start/stop - Debugger API with response bodies
  • chrome_network_request - Send custom HTTP requests </details>

<details> <summary><strong>🔍 Content Analysis (4 tools)</strong></summary>

  • search_tabs_content - AI-powered semantic search across browser tabs
  • chrome_get_web_content - Extract HTML/text content from pages
  • chrome_get_interactive_elements - Find clickable elements
  • chrome_console - Capture and retrieve console output from browser tabs </details>

<details> <summary><strong>🎯 Interaction (3 tools)</strong></summary>

  • chrome_click_element - Click elements using CSS selectors
  • chrome_fill_or_select - Fill forms and select options
  • chrome_keyboard - Simulate keyboard input and shortcuts </details>

<details> <summary><strong>📚 Data Management (5 tools)</strong></summary>

  • chrome_history - Search browser history with time filters
  • chrome_bookmark_search - Find bookmarks by keywords
  • chrome_bookmark_add - Add new bookmarks with folder support
  • chrome_bookmark_delete - Delete bookmarks </details>

📄 License

This project is licensed under the MIT License - see the LICENSE file for details. Based on the original hangwin/mcp-chrome repository.

📚 More Documentation

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