env-doctor vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
env-doctor by mitulgarg | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 142 | ★ 85,748 |
| 30d uses | — | — |
| Score | 48 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsMonitoringAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
env-doctor · Summary
Env-Doctor MCP server provides AI assistants with tools to diagnose and fix CUDA/GPU environment compatibility issues.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
env-doctor · Use cases
- AI assistants diagnose CUDA compatibility issues before installing PyTorch/TensorFlow
- Validate Dockerfiles for GPU configuration errors before building
- Check if specific AI models will fit on available GPU hardware
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
env-doctor · Install
Installation
pip install env-doctorMCP Server Configuration
Add to Claude Desktop config (~/.config/Claude/claude_desktop_config.json):
{
"mcpServers": {
"env-doctor": {
"command": "env-doctor-mcp"
}
}
}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.