# MCP Bookmarks

> Use this tool when you need to efficiently organize and navigate complex codebases through programmatically created bookmarks. It solves problems of code discovery, architecture comprehension, and collaboration by providing a hierarchical system for AI-driven and manual annotation of key components and flows. The MCP Bookmarks extension takes in codebase data and outputs organized, annotated bookmarks and groups, ideal for use in AI-assisted coding, code review, and knowledge management contexts.

Canonical page: https://skillsregistry.net/skills/linonon-mcpbookmarks  
JSON: https://api.skillsregistry.net/v1/skills/linonon-mcpbookmarks

## Description

A VSCode extension that provides MCP tools for AI assistants to programmatically create, manage, and annotate code bookmarks. It enables AI-driven and manual organization of codebase architecture, flows, and key components through hierarchical bookmarks and groups.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iscl1nt60r)
- **Repository:** <https://github.com/linonon/mcpbookmarks>

## 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": "linonon-mcpbookmarks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/linonon-mcpbookmarks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/linonon-mcpbookmarks/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