
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
Research & Data · Education & Learning

mixophrygian/browser_history_mcp
A local Model Context Protocol (MCP) server that provides access to browser history data for comprehensive analysis and insights. Built using the official python MCP sdk, this tool can be added to Claude desktop in a few minutes using the Quick Start guide.
{
"mcpServers": {
"Browser History MCP": {
"command": "/usr/local/bin/uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"[wherever-you-saved-the-repo]/browser-mcp-server/server/main.py"
]
}
}
}Multi-Browser Support: Query Firefox, Chrome, and (some versions of) Safari browser history
Session Analysis: Group browsing sessions with intelligent time-based clustering
Smart Categorization: Automatically categorize websites by type and purpose
Domain Analytics: Analyze domain frequency and visit patterns
Learning Insights: Identify learning patterns and educational content consumption
Productivity Metrics: Calculate productivity scores and distraction analysis
Real-time Access: Direct database access for immediate insights
Privacy-First: Local processing with no data transmission
health_check
Simple health check to test if the MCP server is working
check_browser_status
Step 1: Check which browsers are available and which are locked
get_browser_history
Step 2: Get raw browser history data without analysis (fastest)
analyze_browser_history
Step 3: Main analysis tool with options for quick_summary, basic, or comprehensive analysis
search_browser_history
Search browser history for specific queries
suggest_categories
Get uncategorized URLs for custom categorization
diagnose_safari_support
Safari support and accessibility diagnostics
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

mendableai/firecrawl-mcp-server
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exa-labs/exa-mcp-server
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blazickjp/arxiv-mcp-server
A local MCP server for agent literature work. The differentiator is original-LaTeX section reads, BibTeX from arXiv metadata, and topic watches. Papers stay on disk.

lakehq/sail
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janwilmake/openapi-mcp-server
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haris-musa/excel-mcp-server
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