zettelkasten-mcp vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
zettelkasten-mcp by entanglr | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 151 | ★ 85,748 |
| 30d uses | — | — |
| Score | 42 | 77 |
| Official | — | ✓ |
| Categories | Knowledge GraphProductivityAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 13 mo ago | this month |
zettelkasten-mcp · Summary
Zettelkasten MCP server enables atomic note creation, linking, and exploration through MCP protocol for knowledge management.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
zettelkasten-mcp · Use cases
- Academic researchers managing literature reviews and connecting theoretical concepts
- Writers and content creators building knowledge graphs for complex narratives
- Personal knowledge management for lifelong learning and idea development
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
zettelkasten-mcp · Install
# Clone the repository
git clone https://github.com/entanglr/zettelkasten-mcp.git
cd zettelkasten-mcp
# Create a virtual environment with uv
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
# Install dependencies
uv add "mcp[cli]"
# Install devenuv sync --all-extrasConfigure Claude Desktop:
{
"mcpServers": {
"zettelkasten": {
"command": "/absolute/path/to/zettelkasten-mcp/.venv/bin/python",
"args": [
"-m",
"zettelkasten_mcp.main"
],
"env": {
"ZETTELKASTEN_NOTES_DIR": "/absolute/path/to/zettelkasten-mcp/data/notes",
"ZETTELKASTEN_DATABASE_PATH": "/absolute/path/to/zettelkasten-mcp/data/db/zettelkasten.db",
"ZETTELKASTEN_LOG_LEVEL": "INFO"
}
}
}
}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.