filesystem vs suse-ai-up
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | suse-ai-up by SUSE | |
|---|---|---|
| Stars | ★ 85,748 | ★ 28 |
| 30d uses | — | — |
| Score | 77 | 44 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | Ops & InfraAI / LLM ToolsDeveloper Tools |
| Language | TypeScript | Go |
| Last commit | this month | 1 mo ago |
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
suse-ai-up · Summary
SUSE AI Universal Proxy is a comprehensive platform for managing and proxying MCP servers with secure orchestration across multiple microservices.
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
suse-ai-up · Use cases
- Enterprise AI service orchestration with centralized management
- Multi-tenant MCP server deployment with authentication and security
- AI application development with plugin-based extensibility
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.
suse-ai-up · Install
Installation Options
Helm Installation (Recommended)
- Clone the repository:
git clone https://github.com/suse/suse-ai-up - Navigate to the directory:
cd suse-ai-up - In values.yaml, set:
- service.type: LoadBalancer - auth.method: development (for no auth)
- Install using the helm chart:
``bash helm install suse-ai-up ./charts/suse-ai-up ``
- Access the service at the IP address shown via
kubectl get svc suse-ai-up-service
Local Development
git clone https://github.com/suse/suse-ai-up.git
cd suse-ai-up
go run ./cmd/uniproxy**Claude Desktop Integration:** Add this to your Claude Desktop config.json:
"mcpServers": {
"suse-ai-up": {
"command": "docker",
"args": ["run", "--rm", "-p", "8911:8911", "suse/suse-ai-up"]
}
}