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blackmount-mcp

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by BlackMount-ai
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blackmount-mcp

PyPI Downloads License: MIT Python 3.10+ Install in Cursor

Your AI assistant is blind to your browsing life. Claude doesn't know what you researched yesterday, what tabs you have open, or what articles you bookmarked. blackmount-mcp fixes that.

Connect your local browser history, bookmarks, open tabs, and downloads directly to Claude, Cursor, or any MCP client. All data stays on your machine — nothing leaves your disk.

Quick Start

pip install blackmount-mcp

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "blackmount": {
      "command": "blackmount-mcp"
    }
  }
}

Restart Claude Desktop. Done.

What can you ask?

Once connected, try these in Claude:

  • "What was that article about React Server Components I read last Tuesday?"

  • "How much time did I spend on Reddit vs GitHub this week?"

  • "Find all the ML papers I bookmarked"

  • "What tabs do I have open right now?"

  • "Summarize what I researched yesterday"

  • "Find that pricing page I visited for Vercel — I need to compare it"

  • "What did I download from arxiv in the last month?"

  • "Show me everything I've browsed about LLM fine-tuning"

  • "When do I browse the most — mornings or evenings?"

  • "Find that GitHub PR tab I have open somewhere"

Tool Catalog

Browser

Tool

Description

Example Prompt

search_history

Search browsing history by keyword

"Find that React article I read last week"

list_history

Recent browsing history

"What sites did I visit today?"

find_page

Natural language page search

"That TypeScript tutorial I read"

search_bookmarks

Search bookmarks by title/URL

"Find my saved Python tutorials"

list_bookmarks

Browse bookmark folders

"What's in my Work bookmarks folder?"

get_open_tabs

List currently open tabs

"What tabs do I have open?"

find_tab

Find a specific open tab

"Find that GitHub PR tab"

list_downloads

Recent file downloads

"What did I download this week?"

Analytics

Tool

Description

Example Prompt

browsing_summary

Daily browsing summary

"Summarize my browsing today"

daily_digest

Daily digest of local browsing

"What did I do online yesterday?"

productivity_report

Weekly productivity summary

"How productive was I this week?"

domain_time

Time spent per domain

"Where do I spend my time online?"

distraction_score

Focus vs distraction ratio

"Am I getting distracted?"

most_visited

Top domains by visits

"My most visited sites this month"

research_topics

Clustered research topics

"What have I been researching?"

browsing_patterns

Peak hours, trends

"When do I browse the most?"

Claude Desktop Config

{
  "mcpServers": {
    "blackmount": {
      "command": "blackmount-mcp"
    }
  }
}

Config file locations:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

  • Linux: ~/.config/Claude/claude_desktop_config.json

Cursor

One-click install via the badge at the top of this README, or add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "blackmount": {
      "command": "blackmount-mcp"
    }
  }
}

Supported Browsers

Tool family

Browsers

History

Chrome, Firefox, Safari, Edge, Brave, Opera, Vivaldi

Bookmarks

Chrome, Firefox, Safari

Downloads

Chrome, Firefox, Safari

Open tabs

Chrome, Safari (macOS via AppleScript; Chrome session-file fallback elsewhere)

Privacy

  • All data is read locally from your machine

  • No network requests, no telemetry, no cloud

  • Open source (MIT) — audit the code yourself

Companion Apps

  • app.blackmount.ai — web dashboard for visual browsing analytics

  • Blackmount for iOS — mobile access to your work context

Development

git clone https://github.com/BlackMount-ai/blackmount-mcp.git
cd blackmount-mcp
pip install -e .
pytest tests/ -v
blackmount-mcp

Contributing

Pull requests welcome. Open an issue to discuss larger changes.

Links

License

MIT

This server cannot be installed

A
license - permissive license
-
quality - not tested
B
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
5wRelease cycle
2Releases (12mo)

Resources

Latest Blog Posts

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