mcpbeat

Bookmark Lens MCP Server

io.github.cornelcroi/bookmark-lens
local only

Bookmark Lens runs on your own machine — the client starts it, so there is no endpoint to ping. 168 installs a week from pypi.

Local-first bookmark management with semantic search and AI-powered organization

Installs per day peak 50 · avg 25 · +2% w/w
a month agotoday
168
Installs / week
pypi · bookmark-lens
Stars
on GitHub
Last commit
0 releases in 90 days
License
language unknown

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add bookmark-lens -- uvx bookmark-lens
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "bookmark-lens": {
      "args": [
        "bookmark-lens"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.bookmark-lens]
command = "uvx"
args = ["bookmark-lens"]
.cursor/mcp.json
{
  "mcpServers": {
    "bookmark-lens": {
      "args": [
        "bookmark-lens"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "bookmark-lens": {
      "args": [
        "bookmark-lens"
      ],
      "command": "uvx"
    }
  }
}

Bookmark Lens — questions

Answers built from our own checks of this server.

Why is there no uptime for Bookmark Lens?
Bookmark Lens runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package bookmark-lens was installed 168 times last week.
How do I connect Bookmark Lens?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls bookmark-lens straight from pypi; nothing to host, nothing to sign up for.
How many people use Bookmark Lens?
The pypi package bookmark-lens was installed 168 times in the last week. Week over week that is +2%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.