time vs suse-ai-up
Side-by-side comparison to help you pick between these two MCP servers.
time by modelcontextprotocol | suse-ai-up by SUSE | |
|---|---|---|
| Stars | ★ 85,748 | ★ 28 |
| 30d uses | — | — |
| Score | 77 | 44 |
| Official | ✓ | — |
| Categories | ProductivityDeveloper ToolsCommunication | Ops & InfraAI / LLM ToolsDeveloper Tools |
| Language | TypeScript | Go |
| Last commit | this month | 1 mo ago |
time · Summary
A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.
suse-ai-up · Summary
SUSE AI Universal Proxy is a comprehensive platform for managing and proxying MCP servers with secure orchestration across multiple microservices.
time · Use cases
- Assisting with international meeting scheduling across time zones
- Providing real-time time information for location-based queries
- Enabling time conversion for travel planning and itineraries
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
time · Install
Installation Options
**Using uv (recommended):**
uvx mcp-server-time**Using PIP:**
pip install mcp-server-time
python -m mcp_server_time**Configure for Claude Desktop:**
{
"mcpServers": {
"time": {
"command": "uvx",
"args": ["mcp-server-time"]
}
}
}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"]
}
}