mcpField
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mcp-bookmark

mcp-bookmark

Local
github.com/preedew17Productivity0Updated 25w ago

About mcp-bookmark

mcp-bookmark is an MCP server for AI assistants to save and search bookmark collections. It uses OpenAI for semantic search and categorization, with URL, title, and description fields.

Key features

  1. 01Save URLs with titles and descriptions
  2. 02Semantic search across bookmarks
  3. 03OpenAI-assisted search and categorization
  4. 04Connect to MCP-compatible platforms

Use cases

  1. 01Save a useful site while working
  2. 02Find bookmarks by topic or phrase

MCP support

It exposes `save_bookmark` and `search_bookmarks` tools to MCP clients for storing and searching bookmarks.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"preedew17-mcp-bookmark": {
"command": "uvx",
"args": [
"mcp-bookmark-server-preedew"
],
"env": {
"YOUR_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
Run commanduvx mcp-bookmark-server-preedew
Environment variables to set
YOUR_API_KEYSecretYour API key for the service

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypimcp-bookmark-server-preedew0.1.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Bookmark Server

A Model Context Protocol (MCP) server that enables AI assistants to save and search bookmarks using OpenAI's RAG capabilities. Store URLs with metadata and perform intelligent searches across your bookmark collection.

Features

  • Save Bookmarks: Store URLs with titles and descriptions
  • Smart Search: Search across bookmark titles and descriptions using semantic search
  • AI-Powered: Integration with OpenAI for intelligent bookmark management and categorization
  • Multi-Platform: Easy integration across multiple MCP-compatible platforms

Installation

pip install mcp-bookmark-server

Configuration for MCP Hosts

Claude Desktop

Add to your claude_desktop_config.json:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "bookmark": {
      "command": "/usr/local/bin/uvx",
      "args": [
        "--from",
        "git+https://github.com/preedew17/mcp-bookmark.git",
        "mcp-bookmark-server"
      ],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key-here"
      }
    }
  }
}
Cursor IDE

Add to your MCP settings in .cursor/mcp_config.json:

{
  "mcpServers": {
    "bookmark": {
      "command": "/usr/local/bin/uvx",
      "args": [
        "--from",
        "git+https://github.com/preedew17/mcp-bookmark.git",
        "mcp-bookmark-server"
      ],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key-here"
      }
    }
  }
}
Windsurf IDE

Add to your windsurf_config.json:

{
  "mcpServers": {
    "bookmark": {
      "command": "/usr/local/bin/uvx",
      "args": [
        "--from",
        "git+https://github.com/preedew17/mcp-bookmark.git",
        "mcp-bookmark-server"
      ],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key-here"
      }
    }
  }
}
Zed Editor

Add to your Zed settings under MCP servers:

{
  "mcp": {
    "servers": {
      "bookmark": {
        "command": "/usr/local/bin/uvx",
        "args": [
          "--from",
          "git+https://github.com/preedew17/mcp-bookmark.git",
          "mcp-bookmark-server"
        ],
        "env": {
          "OPENAI_API_KEY": "your-openai-api-key-here"
        }
      }
    }
  }
}
Continue (VS Code Extension)

Add to your continue/config.json:

{
  "mcpServers": [
    {
      "name": "bookmark",
      "command": "/usr/local/bin/uvx",
      "args": [
        "--from",
        "git+https://github.com/preedew17/mcp-bookmark.git",
        "mcp-bookmark-server"
      ],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key-here"
      }
    }
  ]
}

Available Tools

save_bookmark

Save a new bookmark.

Parameters:

  • url (required): The URL to bookmark
  • title (optional): Title for the bookmark
  • description (optional): Description

Example:

{
  "url": "https://example.com",
  "title": "Example Site",
  "description": "A useful example website"
}
search_bookmarks

Search through saved bookmarks.

Parameters:

  • query (required): Search terms

Example:

{
  "query": "python tutorial"
}

Usage Examples

Once configured with your MCP host, you can use natural language:

Requirements

  • Python 3.11+
  • OpenAI API key
  • uvx package manager installed
  • Internet connection for GitHub repository access

Environment Variables

  • OPENAI_API_KEY: Required for AI-powered categorization and search enhancement

Support

License

MIT License


Built for the Model Context Protocol ecosystem

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.