Train in Silence

mcp-serverNo score yet

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

GitHub ↗

Stars

101

Δ stars 7d

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Δ stars 30d

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Forks

1

Contributors

1

npm DL / wk

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PyPI DL / wk

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Language

Python

Last push

2026-05-08

About Train in Silence

Train in Silence The first Task-Aware MCP server for LLM fine-tuning. Stop comparing GPU prices. Start training. 中文 You want to fine-tune an LLM. You open Vast.ai, RunPod, AWS, etc. -- a dozen tabs, a dozen pricing models, a dozen different ways to describe a GPU. Which option can run your code, and do so more cheaply and quickly? An hour later you're still in a spreadsheet and haven't written a single line of training code. Install the library and register it as a tool in Claude Code:

Read the full README on GitHub →

Newly tracked — a growth score appears after the first full scoring week. Signals are deliberately suppressed during cold start to avoid false positives.

Train in Silence alternatives

Projects in the same category, closest in size — picked by data, not opinion.

io.github.SimplyLiz/ckbStable102 ★
io.github.ryanbaumann/platform-aiStable102 ★
SureScaleAI/openai-gpt-image-mcpStable102 ★
stass/lldb-mcpStable105 ★

See all mcp-server projects ranked by growth →

Frequently asked questions

Is Train in Silence still maintained?
Activity is low: the last push was on 2026-05-08 (41 days before our latest snapshot).
What are the best Train in Silence alternatives?
Closest by category and size in our data: io.github.SimplyLiz/ckb, io.github.ryanbaumann/platform-ai, SureScaleAI/openai-gpt-image-mcp — full list with live signals above.

Topics

Fine-Tuning & Trainingmcpmcp-serverclaude-codellmfine-tuningcost-optimizationgpu-pricingvram-calculator

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Tracked since 2026-06-17 · data as of 2026-06-18 · 1 open issues ·