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raindrop-io-mcp-server vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

raindrop-io-mcp-server
by hiromitsusasaki
filesystem
by modelcontextprotocol
Stars★ 72★ 85,748
30d uses
Score4377
Official
Categories
ProductivityKnowledge GraphAI / LLM Tools
File SystemDeveloper ToolsProductivity
LanguageTypeScriptTypeScript
Last commit12 mo agothis month

raindrop-io-mcp-server · Summary

MCP server enabling LLMs to create, search, and filter Raindrop.io bookmarks.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

raindrop-io-mcp-server · Use cases

  • LLM assistants can bookmark resources during conversations for later retrieval
  • AI-powered organization and tagging of bookmarked content
  • Automated bookmark management based on content analysis

filesystem · Use cases

  • Enable AI models to read and write project files during development
  • Allow Claude or other MCP clients to browse and analyze codebases
  • Provide secure sandboxed access to specific directories for content generation

raindrop-io-mcp-server · Install

Installation

Via Smithery (Recommended)

npx -y @smithery/cli install @hiromitsusasaki/raindrop-io-mcp-server --client claude

Manual Installation

  1. Clone the repository:
git clone https://github.com/hiromitsusasaki/raindrop-io-mcp-server
cd raindrop-io-mcp-server
  1. Install dependencies:
npm install
  1. Set up environment variables:

Create a .env file and add your Raindrop.io API token

RAINDROP_TOKEN=your_access_token_here
  1. Build:
npm run build

Claude Desktop Configuration

Add to your Claude Desktop config file (claude_desktop_config.json):

{
  "mcpServers": {
    "raindrop": {
      "command": "node",
      "args": ["PATH_TO_BUILD/index.js"],
      "env": {
        "RAINDROP_TOKEN": "your_access_token_here"
      }
    }
  }
}

Restart Claude Desktop after making changes.

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.