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 | — | — |
| Score | 43 | 77 |
| Official | — | ✓ |
| Categories | ProductivityKnowledge GraphAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 12 mo ago | this 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 claudeManual Installation
- Clone the repository:
git clone https://github.com/hiromitsusasaki/raindrop-io-mcp-server
cd raindrop-io-mcp-server- Install dependencies:
npm install- Set up environment variables:
Create a .env file and add your Raindrop.io API token
RAINDROP_TOKEN=your_access_token_here- Build:
npm run buildClaude 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.