Train-in-Silence

by hlpun · MCP Server · ★ 101

About Train-in-Silence

The first Task-Aware MCP server and automated VRAM calculator for LLM fine-tuning. Instantly snipe the cheapest, fastest GPUs across 10+ cloud providers.

claude-codecost-optimizationfine-tuninggpu-pricingllmmcpmcp-serverpythonvram-calculator

Quick Facts

Stars101
Forks2
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score43.25/100
Last Updated2026-08-04
Created2026-04-12
Platformsclaude-code, mcp, python
Est. Tokens~13k

Compatible Skills

These tools work well together with Train-in-Silence for enhanced workflows:

  • VenusFactory2 — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop (51%)
  • MetaClaw — semantic(0.25)+complementary+rare_topics+same_lang+shared_platform (48%)
  • LLM-Agents-Ecosystem-Handbook — semantic(0.31)+rare_topics+same_lang+similar_pop+shared_platform (45%)

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Frequently Asked Questions

What is Train-in-Silence?

Train-in-Silence is The first Task-Aware MCP server and automated VRAM calculator for LLM fine-tuning. Instantly snipe the cheapest, fastest GPUs across 10+ cloud providers.. It is categorized as a MCP Server with 101 GitHub stars.

What programming language is Train-in-Silence written in?

Train-in-Silence is primarily written in Python. It covers topics such as claude-code, cost-optimization, fine-tuning.

How do I install or use Train-in-Silence?

You can find installation instructions and usage details in the Train-in-Silence GitHub repository at github.com/hlpun/Train-in-Silence. The project has 101 stars and 2 forks, indicating an active community.

What license does Train-in-Silence use?

Train-in-Silence is released under the MIT license, making it free to use and modify according to the license terms.

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