Chrome History & Bookmarks MCP Server

A Model Context Protocol (MCP) server that provides AI assistants with tools to analyze Chrome browser history and bookmarks data.

Features

🔍 History Search - Search through Chrome browsing history by keywords, URLs, and date ranges
📊 History Statistics - Get insights about your browsing data including date ranges and visit counts
⏰ Recent Browsing - View recent browsing activity from the last 24 hours (configurable)
🔖 Bookmarks Access - Read and analyze Chrome bookmarks (coming soon)
📈 Browsing Patterns - Analyze browsing habits and patterns (coming soon)
📤 Data Export - Export history and bookmarks to various formats (coming soon)

Installation

1. Clone the repository:

   git clone https://github.com/your-username/chrome-history-mcp-server.git
   cd chrome-history-mcp-server
   

2. Install dependencies:

   npm install
   

3. Run the server:

   node src/mcp-server.js
   

Usage with Claude Desktop

1. Configure Claude Desktop by editing your config file:

   macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   Windows: %APPDATA%/Claude/claude_desktop_config.json

2. Add the MCP server configuration:

   {
     "mcpServers": {
       "chrome-history": {
         "command": "node",
         "args": ["/path/to/your/project/src/mcp-server.js"],
         "env": {}
       }
     }
   }
   

3. Restart Claude Desktop and start using the tools!

Available Tools

search_history

Search through Chrome browsing history with optional date filtering.

Example usage:

"Search my browser history for 'github'"
"Find all YouTube videos I watched last week"
"Show me what I browsed between 2024-01-01 and 2024-01-31"

get_recent_browsing

Get browsing activity from recent hours with visit details and timestamps.

Example usage:

"Show me what I've been browsing in the last 24 hours"
"What websites did I visit in the last 6 hours?"

get_history_stats

Get statistics about your Chrome history database including date ranges and total entries.

Example usage:

"Show me my Chrome history statistics"
"What's the date range of my browsing history?"

How It Works

This MCP server:

1. Locates Chrome - Automatically finds Chrome profile directory across platforms (macOS, Windows, Linux)
2. Reads SQLite Database - Safely accesses Chrome's History database in read-only mode
3. Provides Tools - Exposes browsing data through standardized MCP tools
4. Cross-Platform - Works with Chrome, Chromium, and various Chrome profiles

Architecture

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   Claude        │    │   MCP Server     │    │   Chrome        │
│   Desktop       │◄──►│   (This Project) │◄──►│   Browser       │
│   (AI Client)   │    │                  │    │   SQLite DB     │
└─────────────────┘    └──────────────────┘    └─────────────────┘

Technical Details

• Language: JavaScript (ES modules)
• Protocol: Model Context Protocol (MCP)
• Database: SQLite3 (Chrome's History database)
• Platforms: macOS, Windows, Linux
• Chrome Support: Chrome, Chromium, multiple profiles

Security & Privacy

• Read-only access - Never modifies Chrome data
• Local processing - All data stays on your machine
• No network requests - Operates entirely offline
• Database safety - Uses SQLite read-only mode to prevent corruption

Requirements

• Node.js 16+ with ES modules support
• Chrome/Chromium installed and run at least once
• MCP-compatible client (like Claude Desktop)

Contributing

Contributions welcome! Please feel free to submit issues and pull requests.

License

MIT License - see LICENSE file for details.

Troubleshooting

"Chrome installation not found"

• Ensure Chrome is installed and has been run at least once
• Check if you're using a custom Chrome profile location

"Database query failed"

• Make sure Chrome is closed (database might be locked)
• Verify Chrome profile permissions

"No results for date range"

• Use get_history_stats to check available date range
• Ensure date format is YYYY-MM-DD

Future Features

• 🔖 Full bookmarks analysis and search
• 📊 Advanced browsing pattern analysis
• 📤 Export to JSON, CSV, HTML formats
• 🧹 Privacy-focused history cleaning tools
• 📈 Browsing time analytics and insights