filesystem vs turbular
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | turbular by raeudigerRaeffi | |
|---|---|---|
| Stars | ★ 85,748 | ★ 99 |
| 30d uses | — | — |
| Score | 77 | 44 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | DatabaseDeveloper ToolsAI / LLM Tools |
| Language | TypeScript | Python |
| Last commit | this month | 10 mo ago |
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
turbular · Summary
Turbular is an MCP server that enables LLM agents to connect to and query multiple databases through a unified API interface.
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
turbular · Use cases
- Build AI applications that need to query multiple database types
- Enable LLM agents to access and analyze enterprise data securely
- Create data analysis tools that work across different database systems
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.
turbular · Install
Installation
- Clone the repository:
git clone https://github.com/raeudigerRaeffi/turbular.git
cd turbular- Using Docker (Recommended):
docker-compose -f docker-compose.dev.yml up --build- Manual Installation:
pip install -r requirements.txt
uvicorn app.main:app --reloadClaude Desktop Configuration
{
"mcpServers": {
"turbular": {
"command": "uvicorn",
"args": ["app.main:app", "--reload"],
"env": {
"PYTHONPATH": "."
}
}
}
}