# mcp-bookmark-server

> Use this tool when you need to efficiently manage and retrieve bookmarks, as it enables AI assistants to save and search bookmarks using OpenAI's RAG capabilities. It solves problems of disorganized bookmarks and difficult information retrieval, providing a seamless interface for inputting and outputting bookmark data. Ideal for use in applications where intelligent bookmark management is crucial, such as research, knowledge base construction, or personalized content recommendation.

Canonical page: https://skillsregistry.net/skills/preedew17-mcp-bookmark  
JSON: https://api.skillsregistry.net/v1/skills/preedew17-mcp-bookmark

## Description

Enables AI assistants to save and search bookmarks using OpenAI's RAG capabilities for intelligent bookmark management and retrieval.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wft9mz6q5u)
- **Repository:** <https://github.com/preedew17/mcp-bookmark>

## 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": "preedew17-mcp-bookmark"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/preedew17-mcp-bookmark` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/preedew17-mcp-bookmark/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