joplin-mcp-server vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
joplin-mcp-server by dweigend | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 73 | ★ 85,748 |
| 30d uses | — | — |
| Score | 40 | 77 |
| Official | — | ✓ |
| Categories | ProductivityKnowledge GraphAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 15 mo ago | this month |
joplin-mcp-server · Summary
MCP server for Joplin notes with CRUD operations and search functionality.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
joplin-mcp-server · Use cases
- AI assistants access and modify Joplin notes through MCP protocol
- Automated note organization based on content analysis
- Cross-platform note management via AI tools
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
joplin-mcp-server · Install
Installation
Prerequisites
- Python 3.10 or higher
- Joplin Desktop with Web Clipper Service enabled
- uv (Python package manager)
Setup
# Clone repository
git clone https://github.com/dweigend/joplin-mcp.git
cd joplin-mcp
# Create and activate virtual environment
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
# Install dependencies
uv pip install -e .
# Configure Joplin API Token
# Create .env file with JOPLIN_TOKEN=your_api_token_hereClaude Desktop Configuration
Add this to Claude Desktop configuration:
{
"mcpServers": {
"joplin": {
"command": "/PATH/TO/UV/uv",
"args": [
"--directory",
"/PATH/TO/YOUR/PROJECT/joplin_mcp",
"run",
"src/mcp/joplin_mcp.py"
]
}
}
}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.