What it does

  1. Reads
  2. Writes
  3. High impact

Not assessed yet.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

PyPImcp-bookmark-server-preedewv0.1.0

Run

uvx mcp-bookmark-server-preedew

MCP client config

{
  "mcpServers": {
    "bookmark": {
      "command": "uvx",
      "args": [
        "mcp-bookmark-server-preedew"
      ]
    }
  }
}
README2 min read

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

bash
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

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:

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:

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:

json
{
  "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:

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:

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

search_bookmarks

Search through saved bookmarks.

Parameters:

  • query (required): Search terms

Example:

json
{
  "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

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