Train-in-Silence vs time
Side-by-side comparison to help you pick between these two MCP servers.
Train-in-Silence by hlpun | time by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 68 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsOps & Infra | ProductivityDeveloper ToolsCommunication |
| Language | Python | TypeScript |
| Last commit | this month | this month |
Train-in-Silence · Summary
Task-aware MCP server that calculates optimal GPU configurations across 10+ cloud providers for LLM fine-tuning.
time · Summary
A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.
Train-in-Silence · Use cases
- LLM researchers selecting cost-effective GPU options for model training
- Developers optimizing fine-tuning workflows across cloud providers
- Teams comparing GPU performance and costs before starting training projects
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
Train-in-Silence · Install
Installation
Option A: Claude Code (recommended)
pip install train-in-silence
claude mcp add tis --scope user -- tis-mcpOption B: CLI
pip install train-in-silenceOption C: API Server
uvicorn tis.api.server:appClaude Desktop Configuration
Add to claude_desktop_config.json:
{
"mcpServers": {
"tis": {
"command": "python",
"args": ["-m", "tis.mcp"]
}
}
}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"]
}
}
}