# Bookmark Lens

> Use this tool when you need to efficiently manage and search your bookmarks locally, without relying on cloud services. Bookmark Lens solves the problem of disorganized bookmarks by using AI-powered organization and semantic search capabilities to quickly find specific bookmarks using natural language queries. It takes in locally stored bookmarks and outputs relevant search results, making it ideal for users who value data privacy and intuitive information retrieval.

Canonical page: https://skillsregistry.net/skills/cornelcroi-bookmark-lens  
JSON: https://api.skillsregistry.net/v1/skills/cornelcroi-bookmark-lens

## Description

Local-first bookmark manager with semantic search capabilities. Store bookmarks locally with AI-powered organization, smart tagging, and natural language queries. Built on LanceDB vector storage for efficient semantic search without requiring cloud services.

## Trust

- **Trust score (0–1):** 0.51
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cornelcroi-bookmark-lens)
- **Repository:** <https://github.com/cornelcroi/bookmark-lens>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cornelcroi-bookmark-lens"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cornelcroi-bookmark-lens` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cornelcroi-bookmark-lens/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt