Train-in-Silence vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

	Train-in-Silence by hlpun	filesystem by modelcontextprotocol
Stars	★ 68	★ 85,748
30d uses	—	—
Score	46	77
Official	—	✓
Categories	AI / LLM ToolsDeveloper ToolsOps & Infra	File SystemDeveloper ToolsProductivity
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.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

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

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

Train-in-Silence · Install

Installation

Option A: Claude Code (recommended)

pip install train-in-silence
claude mcp add tis --scope user -- tis-mcp

Option B: CLI

pip install train-in-silence

Option C: API Server

uvicorn tis.api.server:app

Claude Desktop Configuration

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "tis": {
      "command": "python",
      "args": ["-m", "tis.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.

Comparison generated from public README + GitHub signals. Last updated automatically.