by hlpun · MCP Server · ★ 102
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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. Train in Silence is the first Task-Aware MCP server for LLM fine-tuning. It doesn't just list prices; it understands your workload. Describe your training job once, and it calculates the required VRAM/FLOPs to return the cheapest, fastest, and most balanced hardware options across a dozen cloud providers -- in seconds. Quickstart Option A: Ask Claude Code (recommended) Install the library and register it as a tool in Claude Code: Then just ask
| Stars | 102 |
| Forks | 2 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.1929645826075/100 |
| Last Updated | 2026-06-24 |
| Created | 2026-04-12 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~14k |
These tools work well together with Train-in-Silence for enhanced workflows:
Looking for a Train-in-Silence alternative? If you're comparing Train-in-Silence with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
Open-source LLM router & AI cost optimizer. Routes simple prompts to cheap/local models, complex ones to premi
📜 An MCP server for conversation history search and retrieval in Claude Code
A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allow
MCP server for YouTube — search videos, get transcripts, channels, and playlists. Works with Claude, Cursor &
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 238 comman
Explore other popular mcp server tools:
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 102 GitHub stars.
Train-in-Silence is primarily written in Python. It covers topics such as claude-code, cost-optimization, fine-tuning.
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 102 stars and 2 forks, indicating an active community.
Train-in-Silence is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Train-in-Silence on Agent Skills Hub include web-agent-protocol, NadirClaw, claude-historian-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.